5357 Data Visualization Jobs - Page 38

Job Overview We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals. ResponsibilitiesData Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting.Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives.Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy. QualificationsExperience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM).Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights.Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

Job Overview We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals. ResponsibilitiesData Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting.Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives.Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy. QualificationsExperience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM).Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights.Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

Responsibilities - Owning Data Pipeline from Web to Athena to Email, end-to-end Youll make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week day. Personalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you? 2+ years of professional data engineering experience Someone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch points You have strong experience in data analysis, growth marketing, or audience development (media or newsletters? Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them up Youre comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goals Problem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguity Excited to join a lean team in a big company that moves quickly

1. Job Purpose The Senior Data Analytics Analyst will play a key role in delivering hands-on analytics solutions across the UK and Ireland. This role focuses on bespoke report building, dashboard development, and advanced data analysis using technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R. Experience in data science is highly advantageous, including the application of machine learning and predictive modelling to solve business problems 2. Accountabilities & Activities • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric. • Perform advanced data analysis and visualisation to support business decision-making. • Develop and maintain data pipelines and queries using SQL and Python. • Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve business problems and uncover actionable insights. • Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows. • Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. • Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value. • Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner. • Use statistical techniques and hypothesis testing to validate assumptions and support decision-making. • Document data science workflows and maintain reproducibility of experiments and models. • Support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts. • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric. 3. Qualifications, Knowledge & Experience • Professional Certifications (preferred or in progress): - Microsoft Certified: Power BI Data Analyst Associate (PL-300) - SnowPro Core Certification (Snowflake) - Microsoft Certified: Azure Data Engineer Associate - AWS Certified: Data Analytics Specialty • Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R. • Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue. • Hands-on experience in building and deploying machine learning models. • Ability to translate complex data into actionable insights. • Excellent problem-solving and communication skills. 4. Judgement Skills Balances team development with delivery priorities and business needs. Makes informed decisions on technical design, resource allocation, and delivery timelines. Evaluates project outcomes and identifies opportunities for team and process improvement. Encourages experimentation while maintaining delivery discipline and governance. 5. Freedom Of Action Acts as a key liaison between technical teams and business stakeholders. 6. Dimensions Financial: Supports budgeting and cost optimisation for analytics projects. Contributes to revenue growth through data-driven client solutions. Non-Financial: Drives adoption of modern analytics tools and practices. Builds strong relationships across business units and with external clients. 7. Environment Build strong relationships and influence key decision makers. Able to work under pressure and adapt to chang

Full Time Role at EssentiallySports for Data Growth EngineerEssentiallySports is the home for the underserved fan, delivering storytelling that goes beyond the headlines. As a media platform, we combine deep audience insights with cultural trends, to meet fandom where it lives and where it goes next. ValuesFocus on the user and all else will followHire for Intent and not for ExperienceBootstrapping gives you the freedom to serve the customer and the team instead of investorInternet and Technology untap the nichesAction oriented, integrity, freedom, strong communicators, and responsibilityAll things equal, one with high agency wins The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. ResponsibilitiesOwning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you?2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters? Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

Full Time Role at EssentiallySports for Data Growth Engineer EssentiallySports is the home for the underserved fan, delivering storytelling that goes beyond the headlines. As a media platform, we combine deep audience insights with cultural trends, to meet fandom where it lives and where it goes next. ValuesFocus on the user and all else will followHire for Intent and not for ExperienceBootstrapping gives you the freedom to serve the customer and the team instead of investorInternet and Technology untap the nichesAction oriented, integrity, freedom, strong communicators, and responsibilityAll things equal, one with high agency wins The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. ResponsibilitiesOwning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you? 2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters? Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

Full Time Role at EssentiallySports for Data Growth EngineerEssentiallySports is the home for the underserved fan, delivering storytelling that goes beyond the headlines. As a media platform, we combine deep audience insights with cultural trends, to meet fandom where it lives and where it goes next. ValuesFocus on the user and all else will followHire for Intent and not for ExperienceBootstrapping gives you the freedom to serve the customer and the team instead of investorInternet and Technology untap the nichesAction oriented, integrity, freedom, strong communicators, and responsibility The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. ResponsibilitiesOwning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you?2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters? Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

Full Time Role at EssentiallySports for Data Growth EngineerEssentiallySports is the home for the underserved fan, delivering storytelling that goes beyond the headlines. As a media platform, we combine deep audience insights with cultural trends, to meet fandom where it lives and where it goes next. ValuesFocus on the user and all else will followHire for Intent and not for ExperienceBootstrapping gives you the freedom to serve the customer and the team instead of investorInternet and Technology untap the nichesAction oriented, integrity, freedom, strong communicators, and responsibility The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. ResponsibilitiesOwning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you?2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters? Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. ResponsibilitiesOwning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you? 2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. Responsibilities Owning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you? 2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. Responsibilities Owning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you? 2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters? Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

Full Time Role at EssentiallySports for Data Growth EngineerEssentiallySports is the home for the underserved fan, delivering storytelling that goes beyond the headlines. As a media platform, we combine deep audience insights with cultural trends, to meet fandom where it lives and where it goes next. ValuesFocus on the user and all else will followHire for Intent and not for ExperienceBootstrapping gives you the freedom to serve the customer and the team instead of investorInternet and Technology untap the nichesAction oriented, integrity, freedom, strong communicators, and responsibilityAll things equal, one with high agency winsEssentiallySports is a top 10 sports media platform in the U. S. , generating over a billion pageviews a year and 30m+ monthly active users per month. This massive traffic fuels our data-driven culture, allowing us to build owned audiences at scale through organic growtha model we take pride in, with zero CAC. The next phase of ES growth is around newsletter initiative, in less than 9 months, weve built a robust newsletter brand with 700,000+ highly engaged readers and impressive performance metrics:5 newsletter brands700k+ subscribersOpen rates of 40%-46%. The role is for a data engineer with growth and business acumen, in the permissionless growth team. Someone who can connect the pipelines of millions of users, but at the same time knit a story of the how and why. ResponsibilitiesOwning Data Pipeline from Web to Athena to Email, end-to-endYoull make the key decisions and see them through to successful user sign upUse Data Science to find real insights, which translates to user engagementPushing changes every week dayPersonalization at Scale: Leverage fan behavior data to tailor content and improve lifetime value. Who are you?2+ years of professional data engineering experienceSomeone who spends time thinking about business insights as much as they do on engineeringIs a self-starter, and drives initiativesIs excited to pick up AI, and integrate it at various touch pointsYou have strong experience in data analysis, growth marketing, or audience development (media or newsletters? Even better). Have an awareness about Athena, Glue, Jupyter, or intent to pick them upYoure comfortable working with tools like Google Analytics, SQL, email marketing platforms (Beehiiv is a plus), and data visualization tools. Collaborative and want to see the team succeed in its goalsProblem solving, proactive and solution oriented mindset, to spot opportunities and translate into real growthAbility to thrive in startups with a fast-paced environment and take ownership for working through ambiguityExcited to join a lean team in a big company that moves quickly

Job OverviewBranch launched in India in 2019 and has seen rapid adoption and growth. As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data.We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals.ResponsibilitiesData Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting.Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives.Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy.QualificationsExperience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM).Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights.Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals. Responsibilities Data Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting.Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives.Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy. Qualifications Experience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM).Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights.Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals. Responsibilities Data Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting.Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives.Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy. Qualifications Experience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM).Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights.Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals. Responsibilities Data Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting.Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives.Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy. Qualifications Experience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM).Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights.Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

Job Overview We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals. Responsibilities Data Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting.Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives.Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy. Qualifications Experience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM). Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights.Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

Job Overview We are seeking an experienced and strategic Data and Reporting Lead to shape our data strategy and drive data-driven decision-making across the organization. This role will focus on developing a comprehensive data infrastructure, ensuring data accuracy, and providing critical insights to support our business goals. Responsibilities Data Strategy & Governance: Develop and implement a data strategy that aligns with organizational goals. Establish governance policies to maintain data quality, consistency, and security.Team Leadership: Provide training and development to enhance the teams skills in data management and reporting. Reporting & Analytics: Oversee the creation of dashboards and reports, delivering key insights to stakeholders. Ensure reports are accessible, reliable, and relevant, with a focus on performance metrics, customer insights, and operational efficiencies.Cross-functional Collaboration: Work closely with cross-functional teams (Tech, Finance, Operations, Marketing, Credit and Analytics) to identify data requirements, integrate data across systems, and support data-driven initiatives. Data Infrastructure & Tools: Work with Data Engineering to assess, select, and implement data tools and platforms to optimize data storage, processing, and reporting capabilities. Maintain and improve our data infrastructure to support scalability and data accessibility.Data Compliance: Ensure adherence to data privacy laws and compliance standards, implementing best practices in data security and privacy. Qualifications Experience: 5-10 years of experience in data management and reporting with at least some in a leadership role.Education: Bachelors or Masters degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field (STEM). Technical Skills: Proficiency in data visualization tools (Metabase, Sisense, Tableau, Power BI), SQL, and data warehousing solutions. Knowledge of ETL processes and familiarity with cloud data platforms is a plus.Analytical Skills: Strong analytical abilities and a strategic mindset, with proven experience in translating data into actionable business insights. Leadership & Communication: Excellent leadership, communication, and presentation skills. Ability to communicate complex information clearly to both technical and non-technical stakeholders.Strong strategic thinking and problem-solving skillsEnthusiasm for working across cultures, functions, and time zones

Visual Designer Experience: 2-4 years (Enterprise Apps, B2B Apps, SaaS, Platforms - Desktop, Web & Mobile) Education: Masters/Bachelors in design (Fine Arts, User Experience Design, Interaction Design, Communication Design) Location: Pune Tools: Popular design tools like Figma, Sketch, Adobe Suite, LottieFiles, Miro etc Portfolio: Strong portfolio showcasing a deep understanding of user-centered design principles & visual design. Visual Design Expertise - Clean and modern layouts, Thoughtful and effective typography , Consistent and impactful visual language Design Systems - Experience creating and managing complex design systems for scalability and consistency. Micro interactions & Animations - Skill in designing engaging and delightful micro interactions and animations to enhance user experience. Data Visualization - Proven ability to transform complex data into compelling and easily understood visuals.

About the Role: We are looking for an Azure Data Engineer 4+ years of expertise in Azure Databricks, Azure Data Factory, Azure DevOps, Azure Storage/ Data Lake and Analytics development. , Relational database and SQL language. Requirements: Create ER diagrams and write relational database queries. Generate database objects and maintain referential integrity. Configure, deploy and maintain database. Participate in development and maintenance of Data warehouses Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modelling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Proficient in Azure SQL, Cosmos DB and Azure Synapse. Provide technical design, coding assistance to the team to accomplish the project deliverables as planned/scoped. #LI-Hybrid #LI-AS1

Role Responsibilities: Zone / Regional Business Management: Drive business performance across all auto dealerships in the assigned zone/region. Identify growth opportunities and develop regional strategies to maximize dealership performance and revenue. Ensure all regional KPIs and targets are met or exceeded. Team Leadership: Lead, mentor, and manage a team of Account Managers responsible for dealership operations. Set performance goals, conduct regular reviews, and support career development of team members. Consulting & Analytical Insights: Analyse business data to identify trends, opportunities, and areas of improvement. Provide strategic recommendations to improve dealership performance and customer engagement. Act as a consultant to dealerships, helping them improve operational efficiency and profitability. Stakeholder Communication & Reporting: Prepare detailed reports and dashboards for internal stakeholders including senior leadership. Present periodic insights and performance summaries, ensuring alignment with business goals. Act as the primary communication bridge between regional operations and central teams. Key Skills Required: Analytical Thinking: Strong proficiency in data interpretation, business modeling, and reporting. Leadership & Team Management: Experience in leading teams and driving results through others. Strategic Planning: Ability to create and execute growth strategies across multiple locations. Communication: Excellent written and verbal communication skills for effective stakeholder engagement. Problem-Solving: Strong decision-making and critical thinking abilities. Tech-Savvy: Proficiency in tools like Excel, PowerPoint, and business intelligence tools (e.g., SQL, Power BI). Project Management: Ability to manage multiple initiatives and meet deadlines in a fast-paced environment. Other Expectations: Bachelors degree in Engineering (B.Tech) or Masters in Business Administration (MBA). 3–4 years of relevant experience in consulting, business analysis, or regional operations management. Prior experience in automotive, tech, or retail sectors is preferred

Senior Data Scientist Req number: R5797 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re searching for an experienced Senior Data Scientist who excels at statistical analysis, feature engineering, and end to end machine learning operations. Your primary mission will be to build and productionize demand forecasting models across thousands of SKUs, while owning the full model lifecycle—from data discovery through automated re training and performance monitoring. This is a Full-time and Hybrid position. Job Description What You’ll Do Advanced ML Algorithms: Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Data Analysis & Feature Engineering: • Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. TimeSeries Forecasting (Demand): • Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. MLOps & Model Lifecycle: • Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Statistical Analysis & Experimentation: • Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Collaboration & Leadership: Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. What You'll Need M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (Big Query, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Role & responsibilities The Data Analyst in Fraud Risk Operations will play a critical role in analyzing data related to fraudulent activities within the ecommerce organization. This role involves leveraging data to identify patterns, trends, and anomalies that indicate potential fraud, providing actionable insights to enhance fraud prevention strategies. The ideal candidate is a detail-oriented, analytical thinker with strong skills in data analysis, visualization, and reporting, and a passion for combating fraud in a fast-paced ecommerce environment Preferred candidate profile Data Analysis & Insights: Analyze large datasets related to transactions, customer behavior, and fraud incidents to identify patterns, trends, and potential risks. Fraud Detection: Develop and monitor key performance indicators (KPIs) and metrics to detect suspicious activities and emerging fraud trends. Reporting: Create and maintain dashboards, reports, and visualizations to communicate findings to the Fraud Risk Operations team and other stakeholders. Risk Assessment: Conduct root cause analysis of fraud incidents and provide recommendations to mitigate risks and improve operational processes. Data Integrity: Ensure data accuracy and consistency by cleaning, validating, and transforming raw data from various sources. Trend Monitoring: Stay updated on industry trends, fraud techniques, and emerging technologies to enhance fraud detection capabilities. Ad-Hoc Analysis: Perform ad-hoc analyses to support investigations and provide insights for specific fraud-related incidents

About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We are looking for a Staff Software Development Engineer to our Shared Platform Services team. Reporting to the Director of Software Engineering, you'll be responsible for: Designing, building, and scaling our cloud data analytics platform, responsible for the ingestion, processing, and querying of terabytes of endpoint telemetry Engineering and maintaining a scalable alerting and incident detection engine using Python and workflow orchestrators Creating and managing insightful Grafana dashboards and other visualizations that provide clear, actionable views of our system’s health and performance for engineering, support, and leadership Optimizing our data platform for cost, performance, and reliability. You will own the architecture and mentor other engineers, building a system that is robust and enhanceable by the entire team What We're Looking for (Minimum Qualifications) 5+ years of professional experience in a data engineering, backend, or SRE role with a focus on large-scale data Expert-level proficiency in a query language like SQL or Kusto Query Language (KQL), with proven experience writing complex queries and optimizing their performance Strong programming skills in Python, particularly for data processing, automation, and building data pipelines Hands-on experience with at least one major cloud provider (Azure is highly preferred) Demonstrated experience building and managing systems for the following: big data analytics, time-series monitoring, alerting/anomaly detection, or data visualization What Will Make You Stand Out (Preferred Qualifications) Direct experience with our current stack: Azure Data Explorer (ADX), Grafana, and Apache Airflow Familiarity with infrastructure as code (IaC) tools like Terraform or Bicep #LI-HYBRID #LI-GL2 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Role & responsibilities Experimenting with new Generative AI models Developing proof of concepts and pilots for various Generative AI and Agentic AI use cases Collaborating with Solution Architects and Enterprise Architects Evangelizing Generative AI and AI adoption within the bank Creating and presenting demos to promote reference architectures Experience: 5+ years of relevant experience Skills: 1. Programming Languages: a. Python 2. Machine Learning Frameworks: a. PyTorch b. TensorFlow 3. Experience with Generative AI Models: a. GANs (Generative Adversarial Networks) b. VAEs (Variational Autoencoders) c. Transformers 4. Cloud Platforms: a. AWS (Amazon Web Services) b. GCP (Google Cloud Platform) c. Azure 5. Data Handling: a. Feature stores b. Vector stores c. Retrieval-Augmented Generation (RAG) d. Data visualization 6. Big Data Technologies: a. Spark 7. Workflow Orchestration: a. Airflow