Purple Drive
Job Description - Data Analyst
Responsibilities
Analyze complex datasets delivered through
Databricks/Spark pipelines
to extract actionable business insights. Write efficient
SQL queries
to retrieve, manipulate, and validate data across large relational and distributed systems. Develop and maintain
dashboards, reports, and visualizations
(Power BI, Tableau, or similar) to communicate findings to stakeholders. Collaborate with
Data Engineers
to ensure data quality, consistency, and accuracy in the pipelines. Work with
business teams and data scientists
to translate requirements into data-driven solutions. Perform
ad-hoc analysis , data validation, and statistical exploration to support decision-making. Document data sources, definitions, and business logic for transparency and reusability. Required Qualifications
Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field. 10+ years of experience as a Data Analyst (or similar role). Strong proficiency in
SQL
(complex queries, joins, aggregations, window functions). Experience with
data visualization tools
(Tableau, Power BI, Looker, etc.). Solid analytical skills with ability to work with large datasets and translate data into insights. Familiarity with
Python
(Pandas, NumPy) or R for statistical analysis. Understanding of
data modeling concepts
and ability to work closely with Data Engineers. Excellent communication and presentation skills for conveying insights to technical and non-technical audiences. Preferred Qualifications
Exposure to
cloud platforms
(AWS, Azure, or GCP) for querying and analysis. Experience with
Databricks/Spark
for data exploration (basic familiarity is enough, since Engineers handle heavy lifting). Knowledge of
statistics and A/B testing
to support product or process improvements. Experience with
GitHub or version control systems
for collaborative workflows.
Responsibilities
Analyze complex datasets delivered through
Databricks/Spark pipelines
to extract actionable business insights. Write efficient
SQL queries
to retrieve, manipulate, and validate data across large relational and distributed systems. Develop and maintain
dashboards, reports, and visualizations
(Power BI, Tableau, or similar) to communicate findings to stakeholders. Collaborate with
Data Engineers
to ensure data quality, consistency, and accuracy in the pipelines. Work with
business teams and data scientists
to translate requirements into data-driven solutions. Perform
ad-hoc analysis , data validation, and statistical exploration to support decision-making. Document data sources, definitions, and business logic for transparency and reusability. Required Qualifications
Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field. 10+ years of experience as a Data Analyst (or similar role). Strong proficiency in
SQL
(complex queries, joins, aggregations, window functions). Experience with
data visualization tools
(Tableau, Power BI, Looker, etc.). Solid analytical skills with ability to work with large datasets and translate data into insights. Familiarity with
Python
(Pandas, NumPy) or R for statistical analysis. Understanding of
data modeling concepts
and ability to work closely with Data Engineers. Excellent communication and presentation skills for conveying insights to technical and non-technical audiences. Preferred Qualifications
Exposure to
cloud platforms
(AWS, Azure, or GCP) for querying and analysis. Experience with
Databricks/Spark
for data exploration (basic familiarity is enough, since Engineers handle heavy lifting). Knowledge of
statistics and A/B testing
to support product or process improvements. Experience with
GitHub or version control systems
for collaborative workflows.