City of Minneapolis · 2 days ago

Senior Data Analyst

Minneapolis, MN

Full-time

Hybrid

Senior Level

$73K/yr - $100K/yr

4+ years exp

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Insider Connection @City of Minneapolis

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Responsibilities

Provide strategic, analytical, and technical support for departmental BI and analytic activities.

Perform detailed analysis and identify trends.

Act as an intermediary between the assigned business unit and the technical community by working with the business units and IT to collect, clarify, and translate business intelligence requirements into designs and solutions.

Perform in-depth data analysis using a variety of tools and techniques to identify trends, patterns, and anomalies in structured and unstructured data.

Investigate and provide answers to complex data questions for a variety of reasons, including fulfilling requests from the public for City data.

Empower City departments to become more data-driven.

Work with City department staff to improve data quality.

Assist City department staff with the technical aspects of data stewardship.

Satisfy ad-hoc reporting and analysis requests.

Work within IT as a subject matter expert in the addition of data to the Enterprise Analytic Hub and reporting framework development.

Collaborate within IT to develop sound, Enterprise-aware, analytic solutions.

Contribute to the coordination of data efforts and initiatives within the City Enterprise.

Act as a mentor to junior analysts, providing guidance, training, and support in their professional development.

Contribute to the dissemination of knowledge and best practices within the analytics team.

Qualification

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SQLPythonRTableauPower BIGISData VisualizationStatistical AnalysisBusiness Data AnalyticsData DiscoveryQuery DesignBusiness IntelligenceCommunicationAnalyticalProblem-SolvingMentoringLeadership

Required

Bachelor's Degree in Business Analytics, Computer Science, Statistics, Economics, a related field, or equivalent

Four years of experience performing related duties, that include business data discovery, analysis, query design, reporting, GIS, and statistical analysis

Good knowledge of, and ability to work with business data analysis, query design principles, GIS, data visualization, and/or statistical analysis

Considerable knowledge of business data analytics, and use of business intelligence and technical tools to source and organize data. Such tools include SQL, Python, R, Tableau, Power BI, or similar platform

Strong communication skills and the ability to prepare recommendation, reports, and revisions based on business data analytics

Excellent analytical and problem-solving skills, with the ability to extract actionable insights from complex datasets

Ability to use data analysis and business intelligence skills to interpret trends to support business activity