301 Data Visualization jobs in Gauteng

Join to apply for the Data & Analytics Engineer role at The WFS Group .

This range is provided by The WFS Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$8.00/hr - $0.00/hr

WFS Group is a fast paced, high performance sales agency that provides what is referred to as “done for you sales” services to our clients. Think of a lead generation based marketing agency… But focused on sales. Put simply, our clients outsource their sales department to us and we sell their services/packages to help them scale faster than ever before while changing as many people’s lives as possible. The main verticals we service are in the online, digital marketing based community with companies that have programs that teach high paying skill sets which is referred to as “alternative education.” We sell a range of transformative programs and packages including everything from business consulting programs, to programs that teach people how to invest in real estate, learn mergers and acquisitions and many many more.

What the heck is a Data & Analytics Engineer, right! Think of it as the architect, the builder, and strategist of our sales data universe — all rolled into one. This role is the nerve center of WFS’s reporting ecosystem, making sure every number, metric, and trend we rely on is 100% accurate, trustworthy, and actionable.

You’ll be building and optimizing data infrastructure in BigQuery, fine-tuning ETL/ELT processes, designing dashboards in Looker Studio, and ensuring our sales leaders always have real-time, crystal-clear data to guide their decisions. In short: you’re the one who makes the data magic happen, so we can close more deals and scale faster than ever.

If you love clean data, beautifully efficient workflows, and turning raw numbers into gold-standard insights — you’re going to thrive here.

• You’re fluent in SQL and dream in query optimization
• You understand Python deeply
• You love taking messy, scattered data and making it flawless and reliable
• You’re excited about making dashboards so clean and intuitive that sales leaders cry tears of joy
• You enjoy building pipelines and workflows that just work - every time
• You can spot a reporting anomaly from a mile away
• You’re obsessed with accuracy, integrity, and efficiency
• You channel your inner detective to track down and solve issues buried in source data
• You get fired up about eliminating manual reporting processes
• You want to make an impact on revenue without ever having to jump on a sales call
• You’re comfortable working solo but thrive in a collaborative, high-energy culture
• You believe sales data should be actionable — not just pretty

• You’re uncomfortable working with complex SQL queries or data warehouses
• You get bored managing and optimizing ETL/ELT pipelines
• You think “good enough” is an acceptable standard for reporting accuracy
• You don’t enjoy solving data puzzles or tracking down inconsistencies
• You shy away from learning new tools or automation methods
• You’d rather eyeball data than audit it thoroughly
• You’re not interested in supporting a high-performance sales culture
• You prefer slow-paced environments with minimal change
• You think dashboards are just “nice to have” instead of mission-critical
• You still believe spreadsheets are the only reporting tool you need

• Design, maintain, and optimize ETL/ELT processes to ensure accurate, timely data flow into BigQuery
• Monitor, audit, and troubleshoot datasets to guarantee accuracy, consistency, and completeness
• Build, maintain, and enhance Looker Studio dashboards and reports for sales leadership and stakeholders
• Optimize dashboard performance and eliminate reliance on manual reporting processes
• Conduct advanced SQL analysis to identify trends, performance drivers, and process improvement opportunities
• Implement and enforce data governance and quality assurance standards
• Collaborate with Sales Ops, Integrator Team, and Sales Leadership to ensure seamless reporting alignment
• Partner with leadership to translate data insights into actionable sales strategies
• Provide input on configuration and integration of sales tech stack to ensure accurate data capture and prevent disruptions to reporting workflows
• Maintain documentation for reporting processes, pipelines, and governance standards
• Train non-technical stakeholders to interpret and leverage sales data effectively

We don’t just collect data — we weaponize it for growth. At WFS, every query you run, every dashboard you monitor, and every anomaly you catch directly fuels the success of our clients and the commissions of our sales team. You’ll have the freedom to innovate, the resources to execute, and the backing of a leadership team that actually listens to your recommendations.

Here, you’re not a “back-office” data person — you’re a core driver of our competitive edge. You’ll work with smart, driven teammates who care about excellence, speed, and results, and you’ll see the impact of your work in real-time. If you’ve ever wanted a role where precision meets adrenaline, this is it.

• Job Type: Full-time
• Pay: $8-$9 per hour
• Schedule: Monday to Friday, 9AM-6PM PST (Must be vailable to work US hours)
• Location: Remote

• Entry level

• Full-time

• Information Technology

• Business Consulting and Services

Join to apply for the Data & Analytics Engineer role at The WFS Group .

This range is provided by The WFS Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$8.00/hr - $0.00/hr

WFS Group is a fast paced, high performance sales agency that provides what is referred to as “done for you sales” services to our clients. Think of a lead generation based marketing agency… But focused on sales. Put simply, our clients outsource their sales department to us and we sell their services/packages to help them scale faster than ever before while changing as many people’s lives as possible. The main verticals we service are in the online, digital marketing based community with companies that have programs that teach high paying skill sets which is referred to as “alternative education.” We sell a range of transformative programs and packages including everything from business consulting programs, to programs that teach people how to invest in real estate, learn mergers and acquisitions and many many more.

What the heck is a Data & Analytics Engineer, right! Think of it as the architect, the builder, and strategist of our sales data universe — all rolled into one. This role is the nerve center of WFS’s reporting ecosystem, making sure every number, metric, and trend we rely on is 100% accurate, trustworthy, and actionable.

You’ll be building and optimizing data infrastructure in BigQuery, fine-tuning ETL/ELT processes, designing dashboards in Looker Studio, and ensuring our sales leaders always have real-time, crystal-clear data to guide their decisions. In short: you’re the one who makes the data magic happen, so we can close more deals and scale faster than ever.

If you love clean data, beautifully efficient workflows, and turning raw numbers into gold-standard insights — you’re going to thrive here.

• You’re fluent in SQL and dream in query optimization
• You understand Python deeply
• You love taking messy, scattered data and making it flawless and reliable
• You’re excited about making dashboards so clean and intuitive that sales leaders cry tears of joy
• You enjoy building pipelines and workflows that just work - every time
• You can spot a reporting anomaly from a mile away
• You’re obsessed with accuracy, integrity, and efficiency
• You channel your inner detective to track down and solve issues buried in source data
• You get fired up about eliminating manual reporting processes
• You want to make an impact on revenue without ever having to jump on a sales call
• You’re comfortable working solo but thrive in a collaborative, high-energy culture
• You believe sales data should be actionable — not just pretty

• You’re uncomfortable working with complex SQL queries or data warehouses
• You get bored managing and optimizing ETL/ELT pipelines
• You think “good enough” is an acceptable standard for reporting accuracy
• You don’t enjoy solving data puzzles or tracking down inconsistencies
• You shy away from learning new tools or automation methods
• You’d rather eyeball data than audit it thoroughly
• You’re not interested in supporting a high-performance sales culture
• You prefer slow-paced environments with minimal change
• You think dashboards are just “nice to have” instead of mission-critical
• You still believe spreadsheets are the only reporting tool you need

• Design, maintain, and optimize ETL/ELT processes to ensure accurate, timely data flow into BigQuery
• Monitor, audit, and troubleshoot datasets to guarantee accuracy, consistency, and completeness
• Build, maintain, and enhance Looker Studio dashboards and reports for sales leadership and stakeholders
• Optimize dashboard performance and eliminate reliance on manual reporting processes
• Conduct advanced SQL analysis to identify trends, performance drivers, and process improvement opportunities
• Implement and enforce data governance and quality assurance standards
• Collaborate with Sales Ops, Integrator Team, and Sales Leadership to ensure seamless reporting alignment
• Partner with leadership to translate data insights into actionable sales strategies
• Provide input on configuration and integration of sales tech stack to ensure accurate data capture and prevent disruptions to reporting workflows
• Maintain documentation for reporting processes, pipelines, and governance standards
• Train non-technical stakeholders to interpret and leverage sales data effectively

We don’t just collect data — we weaponize it for growth. At WFS, every query you run, every dashboard you monitor, and every anomaly you catch directly fuels the success of our clients and the commissions of our sales team. You’ll have the freedom to innovate, the resources to execute, and the backing of a leadership team that actually listens to your recommendations.

Here, you’re not a “back-office” data person — you’re a core driver of our competitive edge. You’ll work with smart, driven teammates who care about excellence, speed, and results, and you’ll see the impact of your work in real-time. If you’ve ever wanted a role where precision meets adrenaline, this is it.

• Job Type: Full-time
• Pay: $8-$9 per hour
• Schedule: Monday to Friday, 9AM-6PM PST (Must be vailable to work US hours)
• Location: Remote

• Entry level

• Full-time

• Information Technology

• Business Consulting and Services

Join to apply for the Data & Analytics Engineer role at The WFS Group .

This range is provided by The WFS Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$8.00/hr - $0.00/hr

WFS Group is a fast paced, high performance sales agency that provides what is referred to as “done for you sales” services to our clients. Think of a lead generation based marketing agency… But focused on sales. Put simply, our clients outsource their sales department to us and we sell their services/packages to help them scale faster than ever before while changing as many people’s lives as possible. The main verticals we service are in the online, digital marketing based community with companies that have programs that teach high paying skill sets which is referred to as “alternative education.” We sell a range of transformative programs and packages including everything from business consulting programs, to programs that teach people how to invest in real estate, learn mergers and acquisitions and many many more.

What the heck is a Data & Analytics Engineer, right! Think of it as the architect, the builder, and strategist of our sales data universe — all rolled into one. This role is the nerve center of WFS’s reporting ecosystem, making sure every number, metric, and trend we rely on is 100% accurate, trustworthy, and actionable.

You’ll be building and optimizing data infrastructure in BigQuery, fine-tuning ETL/ELT processes, designing dashboards in Looker Studio, and ensuring our sales leaders always have real-time, crystal-clear data to guide their decisions. In short: you’re the one who makes the data magic happen, so we can close more deals and scale faster than ever.

If you love clean data, beautifully efficient workflows, and turning raw numbers into gold-standard insights — you’re going to thrive here.

• You’re fluent in SQL and dream in query optimization
• You understand Python deeply
• You love taking messy, scattered data and making it flawless and reliable
• You’re excited about making dashboards so clean and intuitive that sales leaders cry tears of joy
• You enjoy building pipelines and workflows that just work - every time
• You can spot a reporting anomaly from a mile away
• You’re obsessed with accuracy, integrity, and efficiency
• You channel your inner detective to track down and solve issues buried in source data
• You get fired up about eliminating manual reporting processes
• You want to make an impact on revenue without ever having to jump on a sales call
• You’re comfortable working solo but thrive in a collaborative, high-energy culture
• You believe sales data should be actionable — not just pretty

• You’re uncomfortable working with complex SQL queries or data warehouses
• You get bored managing and optimizing ETL/ELT pipelines
• You think “good enough” is an acceptable standard for reporting accuracy
• You don’t enjoy solving data puzzles or tracking down inconsistencies
• You shy away from learning new tools or automation methods
• You’d rather eyeball data than audit it thoroughly
• You’re not interested in supporting a high-performance sales culture
• You prefer slow-paced environments with minimal change
• You think dashboards are just “nice to have” instead of mission-critical
• You still believe spreadsheets are the only reporting tool you need

• Design, maintain, and optimize ETL/ELT processes to ensure accurate, timely data flow into BigQuery
• Monitor, audit, and troubleshoot datasets to guarantee accuracy, consistency, and completeness
• Build, maintain, and enhance Looker Studio dashboards and reports for sales leadership and stakeholders
• Optimize dashboard performance and eliminate reliance on manual reporting processes
• Conduct advanced SQL analysis to identify trends, performance drivers, and process improvement opportunities
• Implement and enforce data governance and quality assurance standards
• Collaborate with Sales Ops, Integrator Team, and Sales Leadership to ensure seamless reporting alignment
• Partner with leadership to translate data insights into actionable sales strategies
• Provide input on configuration and integration of sales tech stack to ensure accurate data capture and prevent disruptions to reporting workflows
• Maintain documentation for reporting processes, pipelines, and governance standards
• Train non-technical stakeholders to interpret and leverage sales data effectively

We don’t just collect data — we weaponize it for growth. At WFS, every query you run, every dashboard you monitor, and every anomaly you catch directly fuels the success of our clients and the commissions of our sales team. You’ll have the freedom to innovate, the resources to execute, and the backing of a leadership team that actually listens to your recommendations.

Here, you’re not a “back-office” data person — you’re a core driver of our competitive edge. You’ll work with smart, driven teammates who care about excellence, speed, and results, and you’ll see the impact of your work in real-time. If you’ve ever wanted a role where precision meets adrenaline, this is it.

• Job Type: Full-time
• Pay: $8-$9 per hour
• Schedule: Monday to Friday, 9AM-6PM PST (Must be vailable to work US hours)
• Location: Remote

• Entry level

• Full-time

• Information Technology

• Business Consulting and Services

Get AI-powered advice on this job and more exclusive features.

CambriLearn is transforming K-12 education for the digital age. As a leading online school offering internationally recognised curricula, we empower students across the globe through flexible, data informed learning experiences.

To scale our impact and improve how we use data across the business, we're hiring a Data & Analytics Engineer (skilled in full stack data science from data pipelines, modelling, deployment to insights) who will own the integrity, usability, and clarity of the data that drives our decision-making.

What You’ll Do

You’ll play a critical role in solving some of our most pressing data challenges. This role isn’t just about dashboards, it’s about fixing the root of broken data, redefining core metrics, and building the pipelines that power every team from Product to Sales to Finance.

• Design and maintain robust data pipelines (ETL/ELT) across platforms such as Salesforce, Google Ads, Meta Ads, Stripe, and CMS systems
• Perform data normalization, cleansing, transformation to align disparate datasets
• Map and integrate data from CMS, CRM, Google Ads, Meta Ads, and other platforms
• Proactively identify data gaps and quality issues and implement fixes
• Integrate AI tools into internal workflows and identify areas of the product where AI can be included.
• Define and monitor KPI's across departments
• Conduct analysist to support product, marketing, sales and other strategic decisionsInvestigate and resolve data integrity issues across products, users, conversions, and retention.
• Redefine and implement accurate business metrics (e.g. what constitutes a conversion, per subject, per class, per level).
• Build and maintain robust data pipelines (SQL + Python) to transform raw data into structured, reliable datasets.
• Design and deploy interactive Power BI dashboards that help teams make faster, better decisions.
• Collaborate across departments (Product, Sales, Marketing, Finance, Ops) to understand data needs and build scalable solutions.
• Build and document relational data models that reflect the reality of our business and customer journeys.
• Assist in implementing data governance, ownership protocols, and best practices for scalable analytics.
• Drive a company wide shift toward data transparency, consistency, and confidence in reporting.

Our Stack

We don’t expect you to know everything but you should be comfortable with or excited to learn:

• SQL (PostgreSQL, BigQuery, or similar)
• Python for scripting and transformation
• Power BI for reporting and dashboarding (bonus if you know DAX or row-level security)
• Salesforce (CRM data integration and reporting)
• Heroku hosted Ruby on Rails app (you’ll be working with its data outputs)
• AWS for content and infrastructure (S3, databases, etc.)
• Bonus: experience with DBT, Airflow, or orchestration tools for pipeline management

Who You Are

• 3–10 years of experience in Data Engineering, Analytics Engineering, or BI focused data roles
• Proven track record of solving real business problems through data
• Able to work with messy or unreliable datasets and design systems that make them trustworthy
• Collaborative and curious: you love working with different teams and asking why?
• Comfortable translating non-technical requests into scalable, accurate data products
• Obsessed with clean, maintainable, scalable systems and not one-off solutions

Preferred Educational Background

We’re specifically looking for candidates with a Bachelor’s or Honours degree in:

• Information Engineering

These degrees offer the perfect balance of technical depth, systems design, and business process understanding which is exactly what this role requires.

Why Join CambriLearn

• Make a meaningful impact on the future of education
• Join a smart, mission driven team that values autonomy, speed, and excellence
• Work from anywhere in SA (remote first)
• Help build the data foundation for a company with massive growth potential

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries E-Learning Providers

Referrals increase your chances of interviewing at CambriLearn Online School by 2x

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Get AI-powered advice on this job and more exclusive features.

This is a remote position.

• Analyzes complex customer data to determine integration needs.
  
• Develops and tests scalable data integration/transformation pipelines using PySpark, SparkSQL, and Python.
  
• Contributes to the codebase through coding, reviews, validation, and complex transformation logic.
  
• Automates and maintains data validation and quality checks.
  
• Collaborates with FPA, data engineers, and developers to align solutions with financial reporting and business objectives.
  
• Participates in solution architecture and technical discussions, refining user stories and acceptance criteria.
  
• Utilizes modern data formats/platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks).
  
• Partners with the product team to ensure accurate customer data reflection and provide feedback based on data insights.
  

• A Data Analytics Engineer with 5+ years of experience.
  
• Must have strong Python, PySpark, Notebook, and SQL coding skills, especially with Databricks and Delta Lake.
  
• Proven ability to build and deploy scalable ETL pipelines to cloud production environments using CI/CD.
  
• Experience with Agile/Scrum, data quality concepts, and excellent communication is essential.
  
• Cloud environment (Azure, AWS) and Infrastructure as Code (Terraform, Pulumi) experience beneficial.
  
• Telecoms industry or consulting experience, plus accounting knowledge, is a plus.
  

• J
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Parvana by 2x

Johannesburg, Gauteng, South Africa 1 day ago

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Cape Town, Western Cape, South Africa 1 week ago

Cape Town, Western Cape, South Africa 1 month ago

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Cape Town, Western Cape, South Africa 3 days ago

South Africa $60,000.00-$120,000.00 1 month ago

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Get AI-powered advice on this job and more exclusive features.

This is a remote position.

• Analyzes complex customer data to determine integration needs.
  
• Develops and tests scalable data integration/transformation pipelines using PySpark, SparkSQL, and Python.
  
• Contributes to the codebase through coding, reviews, validation, and complex transformation logic.
  
• Automates and maintains data validation and quality checks.
  
• Collaborates with FPA, data engineers, and developers to align solutions with financial reporting and business objectives.
  
• Participates in solution architecture and technical discussions, refining user stories and acceptance criteria.
  
• Utilizes modern data formats/platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks).
  
• Partners with the product team to ensure accurate customer data reflection and provide feedback based on data insights.
  

• A Data Analytics Engineer with 5+ years of experience.
  
• Must have strong Python, PySpark, Notebook, and SQL coding skills, especially with Databricks and Delta Lake.
  
• Proven ability to build and deploy scalable ETL pipelines to cloud production environments using CI/CD.
  
• Experience with Agile/Scrum, data quality concepts, and excellent communication is essential.
  
• Cloud environment (Azure, AWS) and Infrastructure as Code (Terraform, Pulumi) experience beneficial.
  
• Telecoms industry or consulting experience, plus accounting knowledge, is a plus.
  

• J
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Parvana by 2x

Johannesburg, Gauteng, South Africa 1 day ago

Johannesburg Metropolitan Area 3 days ago

Cape Town, Western Cape, South Africa 1 week ago

Cape Town, Western Cape, South Africa 1 month ago

Cape Town, Western Cape, South Africa 1 month ago

Cape Town, Western Cape, South Africa 3 days ago

South Africa $60,000.00-$120,000.00 1 month ago

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Cape Town, Western Cape, South Africa 2 months ago

Cape Town, Western Cape, South Africa 2 weeks ago

Johannesburg, Gauteng, South Africa 2 days ago

Johannesburg, Gauteng, South Africa 1 month ago

Cape Town, Western Cape, South Africa 2 months ago

Johannesburg, Gauteng, South Africa 1 day ago

Cape Town, Western Cape, South Africa 5 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Who Are We Founded in 2017, Lokalise is a cloud-based translation management system that helps businesses streamline their localization processes. It provides a platform for managing translations of software, websites, mobile apps, and other digital content. Overall, Lokalise helps businesses improve their time-to-market, increase translation quality, and reduce costs associated with localization.

Location

Even though our company operates exclusively on a remote basis, you are required to reside in Europe (continent) and have legal work eligibility within the country you will be based.

About

As the Data Analytics Lead at Lokalise, you will spearhead our data analytics initiatives and foster a data-driven culture across the company. Your leadership will ensure that comprehensive, end-to-end analytics support our product and growth strategy, empowering decision-making and innovation at every level.

This full-time, remote role demands a visionary leader passionate about leveraging data to unlock insights, optimize performance, and drive growth.

You Will

• Build and Mentor: lead a team of data analysts and scientists, fostering a culture of excellence, collaboration, and continuous learning.
• Lead and Expand Analytics Vision: develop and implement a comprehensive analytics strategy that aligns with our product and growth objectives, overseeing all aspects of company data analytics from collection to interpretation.
• Build and consolidate our data foundations ensuring the data analytics team’s present and future, enhancing and consolidating future analysis.
• Develop and Maintain a Single Source of Truth: own the design, development, automation, and maintenance of ongoing metrics, reports, analyses, and dashboards on the key drivers of our business
• Foster Data-Driven Culture: champion the use of data in strategic decision-making, ensuring data accessibility and literacy across all departments.
• Collaborate and Influence: work closely with finance, product, engineering, sales, marketing, and customer success teams to ensure that analytics insights inform product development, go-to-market strategies, and customer experiences.
• Work hand-to-hand with our Product team to define our Tracking plan, and make sure we observe and understand our users across the product funnel 360º.
• Drive Innovation: Identify opportunities for data to create competitive advantage and support new product features or business models.
• Ensure Data Integrity: Oversee the development and maintenance of robust data infrastructure, data governance policies, and privacy standards to ensure data accuracy and security.

You Must Have

• A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related field.
• Extensive experience in data analytics, preferably in a product-led growth company, with a proven track record of leveraging data to drive decision-making and growth.
• Strong leadership skills with experience building and managing analytics teams.
• Proficiency in analytics and data tools and technologies (e.g., SQL, Python, Metabase, DBT, Kafka, etc.) and knowledge of statistical analysis, predictive modeling, and machine learning techniques.
• Excellent communication skills, with the ability to translate complex data insights into actionable strategies across different organizational levels.

It will be considered a significant advantage if you bring

• Experience in a high-growth tech or SaaS environment

Our Benefits

• Competitive salary and employee stock options plan
• Fully remote and flexible working hours
• Co-working budget
• Unlimited vacation policy
• Top-notch tech equipment for your work
• Learning & Development program
• Health insurance
• Wellness benefits
• Mental health support – every employee has access to a dedicated mental health platform
• Great startup atmosphere, team spirit, and team events

We are committed to a culture of inclusion and equal opportunities. Therefore, we welcome applications from people of all gender identities, sexual orientations, personal expressions, relationship, marital, or civil partnership statuses, racial identities, national or ethnic origins, religious beliefs, ages, and disability statuses.

Who Are We Founded in 2017, Lokalise is a cloud-based translation management system that helps businesses streamline their localization processes. It provides a platform for managing translations of software, websites, mobile apps, and other digital content. Overall, Lokalise helps businesses improve their time-to-market, increase translation quality, and reduce costs associated with localization.

Location

Even though our company operates exclusively on a remote basis, you are required to reside in Europe (continent) and have legal work eligibility within the country you will be based.

About

As the Data Analytics Lead at Lokalise, you will spearhead our data analytics initiatives and foster a data-driven culture across the company. Your leadership will ensure that comprehensive, end-to-end analytics support our product and growth strategy, empowering decision-making and innovation at every level.

This full-time, remote role demands a visionary leader passionate about leveraging data to unlock insights, optimize performance, and drive growth.

You Will

• Build and Mentor: lead a team of data analysts and scientists, fostering a culture of excellence, collaboration, and continuous learning.
• Lead and Expand Analytics Vision: develop and implement a comprehensive analytics strategy that aligns with our product and growth objectives, overseeing all aspects of company data analytics from collection to interpretation.
• Build and consolidate our data foundations ensuring the data analytics team’s present and future, enhancing and consolidating future analysis.
• Develop and Maintain a Single Source of Truth: own the design, development, automation, and maintenance of ongoing metrics, reports, analyses, and dashboards on the key drivers of our business
• Foster Data-Driven Culture: champion the use of data in strategic decision-making, ensuring data accessibility and literacy across all departments.
• Collaborate and Influence: work closely with finance, product, engineering, sales, marketing, and customer success teams to ensure that analytics insights inform product development, go-to-market strategies, and customer experiences.
• Work hand-to-hand with our Product team to define our Tracking plan, and make sure we observe and understand our users across the product funnel 360º.
• Drive Innovation: Identify opportunities for data to create competitive advantage and support new product features or business models.
• Ensure Data Integrity: Oversee the development and maintenance of robust data infrastructure, data governance policies, and privacy standards to ensure data accuracy and security.

You Must Have

• A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related field.
• Extensive experience in data analytics, preferably in a product-led growth company, with a proven track record of leveraging data to drive decision-making and growth.
• Strong leadership skills with experience building and managing analytics teams.
• Proficiency in analytics and data tools and technologies (e.g., SQL, Python, Metabase, DBT, Kafka, etc.) and knowledge of statistical analysis, predictive modeling, and machine learning techniques.
• Excellent communication skills, with the ability to translate complex data insights into actionable strategies across different organizational levels.

It will be considered a significant advantage if you bring

• Experience in a high-growth tech or SaaS environment

Our Benefits

• Competitive salary and employee stock options plan
• Fully remote and flexible working hours
• Co-working budget
• Unlimited vacation policy
• Top-notch tech equipment for your work
• Learning & Development program
• Health insurance
• Wellness benefits
• Mental health support – every employee has access to a dedicated mental health platform
• Great startup atmosphere, team spirit, and team events

We are committed to a culture of inclusion and equal opportunities. Therefore, we welcome applications from people of all gender identities, sexual orientations, personal expressions, relationship, marital, or civil partnership statuses, racial identities, national or ethnic origins, religious beliefs, ages, and disability statuses.

Join to apply for the Data & Analytics Engineer role at The WFS Group .

This range is provided by The WFS Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$8.00/hr - $0.00/hr

WFS Group is a fast paced, high performance sales agency that provides what is referred to as “done for you sales” services to our clients. Think of a lead generation based marketing agency… But focused on sales. Put simply, our clients outsource their sales department to us and we sell their services/packages to help them scale faster than ever before while changing as many people’s lives as possible. The main verticals we service are in the online, digital marketing based community with companies that have programs that teach high paying skill sets which is referred to as “alternative education.” We sell a range of transformative programs and packages including everything from business consulting programs, to programs that teach people how to invest in real estate, learn mergers and acquisitions and many many more.

What the heck is a Data & Analytics Engineer, right! Think of it as the architect, the builder, and strategist of our sales data universe — all rolled into one. This role is the nerve center of WFS’s reporting ecosystem, making sure every number, metric, and trend we rely on is 100% accurate, trustworthy, and actionable.

You’ll be building and optimizing data infrastructure in BigQuery, fine-tuning ETL/ELT processes, designing dashboards in Looker Studio, and ensuring our sales leaders always have real-time, crystal-clear data to guide their decisions. In short: you’re the one who makes the data magic happen, so we can close more deals and scale faster than ever.

If you love clean data, beautifully efficient workflows, and turning raw numbers into gold-standard insights — you’re going to thrive here.

• You’re fluent in SQL and dream in query optimization
• You understand Python deeply
• You love taking messy, scattered data and making it flawless and reliable
• You’re excited about making dashboards so clean and intuitive that sales leaders cry tears of joy
• You enjoy building pipelines and workflows that just work - every time
• You can spot a reporting anomaly from a mile away
• You’re obsessed with accuracy, integrity, and efficiency
• You channel your inner detective to track down and solve issues buried in source data
• You get fired up about eliminating manual reporting processes
• You want to make an impact on revenue without ever having to jump on a sales call
• You’re comfortable working solo but thrive in a collaborative, high-energy culture
• You believe sales data should be actionable — not just pretty

• You’re uncomfortable working with complex SQL queries or data warehouses
• You get bored managing and optimizing ETL/ELT pipelines
• You think “good enough” is an acceptable standard for reporting accuracy
• You don’t enjoy solving data puzzles or tracking down inconsistencies
• You shy away from learning new tools or automation methods
• You’d rather eyeball data than audit it thoroughly
• You’re not interested in supporting a high-performance sales culture
• You prefer slow-paced environments with minimal change
• You think dashboards are just “nice to have” instead of mission-critical
• You still believe spreadsheets are the only reporting tool you need

• Design, maintain, and optimize ETL/ELT processes to ensure accurate, timely data flow into BigQuery
• Monitor, audit, and troubleshoot datasets to guarantee accuracy, consistency, and completeness
• Build, maintain, and enhance Looker Studio dashboards and reports for sales leadership and stakeholders
• Optimize dashboard performance and eliminate reliance on manual reporting processes
• Conduct advanced SQL analysis to identify trends, performance drivers, and process improvement opportunities
• Implement and enforce data governance and quality assurance standards
• Collaborate with Sales Ops, Integrator Team, and Sales Leadership to ensure seamless reporting alignment
• Partner with leadership to translate data insights into actionable sales strategies
• Provide input on configuration and integration of sales tech stack to ensure accurate data capture and prevent disruptions to reporting workflows
• Maintain documentation for reporting processes, pipelines, and governance standards
• Train non-technical stakeholders to interpret and leverage sales data effectively

We don’t just collect data — we weaponize it for growth. At WFS, every query you run, every dashboard you monitor, and every anomaly you catch directly fuels the success of our clients and the commissions of our sales team. You’ll have the freedom to innovate, the resources to execute, and the backing of a leadership team that actually listens to your recommendations.

Here, you’re not a “back-office” data person — you’re a core driver of our competitive edge. You’ll work with smart, driven teammates who care about excellence, speed, and results, and you’ll see the impact of your work in real-time. If you’ve ever wanted a role where precision meets adrenaline, this is it.

• Job Type: Full-time
• Pay: $8-$9 per hour
• Schedule: Monday to Friday, 9AM-6PM PST (Must be vailable to work US hours)
• Location: Remote

• Entry level

• Full-time

• Information Technology

• Business Consulting and Services