Data Analytics Manager
$26K-$55K (Glassdoor est.)
About You:
We are looking for a dedicated and mission-oriented manager on our analytics team who will help our clients leverage data to optimize their performance and results. You will work closely with the Director of Analytics and the rest of the analytics/data science team to analyze and understand customer needs, propose and recommend solutions with input from the team, and oversee execution to bring the best solutions to life. Creative problem-solving skills, strong quantitative/technical background, proactive collaboration with customers and teammates, data-driven mindset, passion for innovation through technology, and ability to iterate quickly and deliver value in our fast-paced, agile environment are keys for success in this role. Most importantly, you must exhibit our core values: integrity, excellence, accountability and grace.

You will:
Play a meaningful role in helping our clients succeed by leveraging their data to make smarter decisions
Work closely with clients and business stakeholders to understand use cases, objectives and KPIs they want to track/optimize using data and analytics
Work closely with analytics, data science, and engineering teams to define and develop comprehensive solutions across reporting, BI, advanced analytics, statistical and AI/ML models
Play multiple roles across solutions architect (define specs), developer (implement core parts of new solutions), and manager (oversee work across the team)
Spec end to end solutions across data integration/pipeline, database/data warehouse architecture, data engineering, data analytics and data science. Dive deep into technical requirements with engineering team while also determining how best to package and present the data to all business stakeholders for maximum impact
Implement core parts of solutions with the best design and architecture using technologies such as SQL, Python, APIs/ETLs, RDS and Redshift on AWS, and data visualization tools such as Tableau and Periscope Data
Oversee implementation with the analytics team to ensure solutions are delivered as per the specs and on time
Strategize how we standardize and scale our analytics and data science solutions across hundreds of clients; Work closely with engineering team to develop proprietary tools, products and services that can help deploy our analytics solutions at scale across hundreds of customers
Help develop a team (direct or indirect reports) that is nimble enough to iterate at the rapid pace demanded by customers, prospects and competition
Provide strong leadership and direction to direct reports. Recruit and hire talented individuals to join the team and continue to develop them to their full potential
Help streamline and improve operational processes to increase efficiency and productivity
Learn and apply new technologies continuously. Evaluate, recommend and implement the best technologies and tools that fit our needs
Find yourself incessantly saying: signal and the noise, causation vs. correlation, optimization
Have a lot of fun…it's unavoidable
Work directly with and learn from the business, product, analytics and engineering leaders across the organization
Exhibit our core values: integrity, excellence, accountability and grace

Your experience and skills
5+ years experience with data analytics, BI, reporting, data science, or equivalent field; 2+ years experience being a senior member of an analytics or data science team with 10+ members
Bachelors degree in a technical/quantitative subject such as mathematics, computer science, economics, etc.
Strong math/statistics background
Highly proficient with PL/SQL
Experienced with BI/analytics tools like Tableau, Looker, Periscope Data/Sisense, and Excel
Familiarity with databases (SQL, MySQL, Postgres) and data warehouses (AWS Redshift, Snowflake)
Experience with cloud services (AWS, Azure, Google Cloud)
Great communication skills to coordinate across business stakeholders and technical teams
Experience with and excitement for working on fast-paced, agile teams with startup DNA
Self-motivated, curious, and quick/continuous learner with a passion for innovation in data analytics/science
Full Potential Solutions
3.8
Full Potential Solutions
