- Identify trends and opportunities for growth through analysis of complex data sets
- Meet our stakeholder s analytical needs by distilling data into actionable insights
- Create best-practice analytical assets based on data mining, analysis, and visualization
RESPONSIBILITIES:
- Translate analysis requests into succinct analytics briefs that are shaped in such a way that you or another analyst can successfully deliver insights
- Take on the analysis of complex data sets to identify trends, patterns, and insights that inform strategic decision-making and improve business growth
- Develop advanced data models, dashboards, and reports to track measurements and provide actionable insights
- Work closely with stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
- Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
- Partnering with stakeholders to lead metrics definition, reporting and analyses
- Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
- Partner with data engineers to establish data assets and feature stores for process automation, advanced analytics, and machine learning model
- Manage the company s business intelligence reporting dashboards
- Develop presentations to share insights with partners.
SKILLS AND QUALIFICATIONS:
- 4+ years experience mining data as a data analyst
- Proven analytic skills, including mining, evaluation, analysis, and visualization
- Technical writing experience in relevant areas, including queries, reports, and presentations
- Excellent SQL and Excel skills with the ability to learn other analytic tools
- Well-versed in requirements gathering, analysis, and documentation
- Excellent communication skills with the ability to distill complex issues and analyses
- Skilled in building and maintaining collaborative relationships with
- Experience presenting findings and implications / recommendations to senior business stakeholders, using data to tell a compelling story
- Experienced self-starter with a problem-solving focus, an analytical mindset, and extreme attention to detail
- Proficient in written and spoken English in a business setting.
PREFERRED QUALIFICATIONS:
- Prior experience with data warehousing concepts
- Prior experience with data ingestion, transformation, and loading processes (ETL/ELT)
- Proven success in a collaborative, team-oriented environment
- Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch
- Experience in modern advanced analytical tools and programming languages such as Python
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience with data visualization software (preferably Tableau)
