As the Data Analysis and Insights Chapter, support the Data Domain by blending expertise in business intelligence and advanced analytics.
Partner with squads and business partners to deliver data insights and ensure respective products or services are designed to the optimal standard.
Ensure alignment on the 'what' and 'when' work is to be performed through ongoing planning and prioritization of a product backlog.
Collaborate as squad members and work iteratively, innovate through testing and experimentation, learn from failures while celebrating success.
Participate in multiple projects and propose and deliver targeted research and advanced analytics required to support business decision making.
Serve as a strong business communicator with leadership, sponsors, and peers, collaborating with them to create key findings for moderately sophisticated business problems.
Requirements
Bachelor’s or equivalent Degree with 4+ years of experience working with data insight solutioning.
Preferred BS/MS in Engineering, Computer Science, Data Science, or a related field.
Basic competence in translating business problem into Analytical/Quantitative/Advanced Analytics.
Knowledge in Business Statistics, Quantitative methods with ability to deliver outcomes in a fast-paced environment.
Experience using statistical tools to interpret data sets, paying particular attention to trends and patterns for diagnostic and predictive analytics.
Expertise with data workflow tools, solid understanding of data and database concepts, tools, and technologies with ability to optimize and drive scale.
Proficient with writing and decoding SQL and Python, and working experience with Python libraries.
Proficient with BI (Business Intelligence) and analytical tools such as Alteryx, Tableau, and Power BI.
Takes a consultative approach understanding needs of others and regularly communicating ideas or suggestions in terms that lead to actionable outcomes and building lasting partnerships with stakeholders.
Understanding of Data insight life cycle and experience working with large data sets, preferred Agile experience, preferred Presentation experience, preferred Financial services experience, preferred.
Benefits
Health insurance
401(k) matching
Paid time off
Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisadvanced analyticsbusiness intelligencestatistical toolsSQLPythondata workflow toolsquantitative methodsdata insight solutioningdata and database concepts
Soft skills
business communicationcollaborationconsultative approachprioritizationproblem-solvinginnovationadaptabilitystakeholder engagementteamworkpresentation skills