Purple Drive
Title:
Data Analyst
Location:
Mountain View, CA / Charlotte, NC
Experience:
6-8
Type:
Contract
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
using
Power BI, Tableau, or similar tools
to communicate findings. Collaborate with
Data Engineers
to ensure data quality, consistency, and accuracy in data 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 related field. 2-3 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.). Strong analytical skills and ability to work with
large datasets . Familiarity with
Python (Pandas, NumPy)
or
R
for statistical analysis. Understanding of
data modeling concepts
and collaboration with Data Engineers. Excellent
communication and presentation
skills for technical and non-technical stakeholders. Preferred Qualifications
Exposure to
cloud platforms (AWS, Azure, GCP)
for querying and analysis. Basic familiarity with
Databricks/Spark
for data exploration (engineers handle heavy lifting). Knowledge of
statistics and A/B testing
for product or process improvements. Experience with
GitHub or version control systems
for collaborative workflows.
Data Analyst
Location:
Mountain View, CA / Charlotte, NC
Experience:
6-8
Type:
Contract
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
using
Power BI, Tableau, or similar tools
to communicate findings. Collaborate with
Data Engineers
to ensure data quality, consistency, and accuracy in data 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 related field. 2-3 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.). Strong analytical skills and ability to work with
large datasets . Familiarity with
Python (Pandas, NumPy)
or
R
for statistical analysis. Understanding of
data modeling concepts
and collaboration with Data Engineers. Excellent
communication and presentation
skills for technical and non-technical stakeholders. Preferred Qualifications
Exposure to
cloud platforms (AWS, Azure, GCP)
for querying and analysis. Basic familiarity with
Databricks/Spark
for data exploration (engineers handle heavy lifting). Knowledge of
statistics and A/B testing
for product or process improvements. Experience with
GitHub or version control systems
for collaborative workflows.