Data Analytics & Engineering - Data Analyst III

Data Analytics & Engineering

• Data Analyst III#26-08464 $75
• 85 per hour Menlo Park, CA

All On-site Job Description Summary:

The main function of a data analyst is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. A typical database analyst/programmer is responsible for planning, coordinating and implementing security measures to safeguard the computer database.

Job Responsibilities:

Collaborate with growth marketers, program managers, and our central analytics team to gather data and metrics requirements. Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams. (e.g. using Tableau, etc.) Build and optimize ETL processes to run marketing campaigns at scale and automate the campaign reporting Write high-quality SQL queries to retrieve and analyze data from database tables Partner with our analytics and cross-functional stakeholders to identify and rectify data integrity / accuracy issues across our reporting, data infrastructure, dashboards

Skills:

BA or BS degree 5+ years of experience with SQL (Oracle, Vertica, Hive, MySQL, etc.) Experience building/operating distributed systems of data extraction, ingestion, and processing of large data sets from multiple sources. Experience in ETL design, implementation and maintenance. Experience with Business Intelligence tools (such as Tableau, MicroStrategy, etc.) and report automation Experience using Python and R Self-starter with flexibility to work in a fast-changing environment and ambiguous situations Experience working in organizations with cross-functional teams Experience working independently and a track record of taking initiative Interpersonal skills — including written and oral communication skills.

Education/Experience:

BA or BS degree in STEM field Top 3 must-have HARD skills: 1 SQL 2 Can build pipelines

• guide team on best practices 3 show leadership and work independently Good to have skills: 1 can self manage projects
• set expectations 2 3 Years of experience required Key performance measurements Degrees or certifications required Disqualifiers ideal profile
• big tech, think data engineer with analyst ability big plus. Must have a proven record of building pipeline and SQL. Ability to build big data pipelines, think millions of rows. DQ
• avoid small scale pipeline experience, folks must be comfortable to work in very large data number sets so it is best when they come from big companies interviews
• 3 max, screen, technical, interview with a growth marketer/stakeholder degree
• bachelors is required, STEAM is ideal

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of

• Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

"