Data Analyst
Data Analyst III
Years of Experience: 5-7 years of experience
Key Projects/Responsibilities:
• Be adept at sourcing data and executing reporting deliverables.
• Use tools and programming languages like SQL (presto/hive), Tableau, Excel/Sheets, and many other internal tools (such as Workday) to work efficiently at scale.
• Apply your technical expertise to understanding business needs, scoping requests, and synthesizing insights in collaboration with other members of the analytics team.
• Apply your technical expertise to help solve, inform, influence how our HR tools operate and support decision making for our HR technology team.
• Capture and maintain reliable documentation to support ongoing project deliverables and alignment with stakeholders and engineering teams.
Minimum Qualifications:
• 3+ years’ experience with SQL (or similar language aimed at querying relational databases).
• 3+ years Data Modeling Experience and designing reporting tables for consumption by BI software.
• Experience with ETL and orchestration tools that manipulating large data sets through software suites such as (Informatica, Talend, Azure Data Factory, etc).
• Experience initiating and driving projects to completion with minimal guidance.
• Experience processing and analyzing data sets, interpreting them for making business decisions.
• Experience communicating the results of analyses with product and leadership teams to influence the overall strategy of the product.
• The ability to have effective conversations with clients about their support needs and requirements.
• Exceptional professionalism and customer-service skills.
• Must be comfortable working in a fast-paced and demanding environment.
Preferred Qualifications:
• Python Proficiency
• Experience with python libraries such as pandas, NumPy, scikitlearn/sklearn.
• Experience with graph database platforms (e.g. Neo4j, Amazon Neptune, Stardog).
• Experience with python native and fully programmable DAGs such as Airflow.
• Experience building reporting solutions with graph data structures.
How will performance be measured?
• Accuracy of Data Interpretation
• Task comprehension and solution efficiency
• Clarity of Written Communication
• Data Hygiene and Audit Pass Rate
• Escalation Awareness and Help Seeking Behavior
Who would be Great Fit?
-Familiar with internal STACK.
-Data engineer experience and can work with customers and understands report ready data – someone that is thinking through the problem.
Disqualifiers:
People without SQL experience.
People that are not familiar with Data.
No experience with BI projects
Interview Process:
3 Rounds of Interview-
1 – Phone screening. (10 mins)
2 – Technical - SQL screening, BI questions, and ability to do modeling and reporting.(45 mins)
3 – Behavioral interviews. (30 mins)
Data Analyst III
Years of Experience: 5-7 years of experience
Key Projects/Responsibilities:
• Be adept at sourcing data and executing reporting deliverables.
• Use tools and programming languages like SQL (presto/hive), Tableau, Excel/Sheets, and many other internal tools (such as Workday) to work efficiently at scale.
• Apply your technical expertise to understanding business needs, scoping requests, and synthesizing insights in collaboration with other members of the analytics team.
• Apply your technical expertise to help solve, inform, influence how our HR tools operate and support decision making for our HR technology team.
• Capture and maintain reliable documentation to support ongoing project deliverables and alignment with stakeholders and engineering teams.
Minimum Qualifications:
• 3+ years’ experience with SQL (or similar language aimed at querying relational databases).
• 3+ years Data Modeling Experience and designing reporting tables for consumption by BI software.
• Experience with ETL and orchestration tools that manipulating large data sets through software suites such as (Informatica, Talend, Azure Data Factory, etc).
• Experience initiating and driving projects to completion with minimal guidance.
• Experience processing and analyzing data sets, interpreting them for making business decisions.
• Experience communicating the results of analyses with product and leadership teams to influence the overall strategy of the product.
• The ability to have effective conversations with clients about their support needs and requirements.
• Exceptional professionalism and customer-service skills.
• Must be comfortable working in a fast-paced and demanding environment.
Preferred Qualifications:
• Python Proficiency
• Experience with python libraries such as pandas, NumPy, scikitlearn/sklearn.
• Experience with graph database platforms (e.g. Neo4j, Amazon Neptune, Stardog).
• Experience with python native and fully programmable DAGs such as Airflow.
• Experience building reporting solutions with graph data structures.
How will performance be measured?
• Accuracy of Data Interpretation
• Task comprehension and solution efficiency
• Clarity of Written Communication
• Data Hygiene and Audit Pass Rate
• Escalation Awareness and Help Seeking Behavior
Who would be Great Fit?
-Familiar with internal STACK.
-Data engineer experience and can work with customers and understands report ready data – someone that is thinking through the problem.
Disqualifiers:
People without SQL experience.
People that are not familiar with Data.
No experience with BI projects
Interview Process:
3 Rounds of Interview-
1 – Phone screening. (10 mins)
2 – Technical - SQL screening, BI questions, and ability to do modeling and reporting.(45 mins)
3 – Behavioral interviews. (30 mins)
