200+ applicants

Company

Original Job Post

Rapid Finance · 2 days ago

BI Data Analyst

United States

Full-time

Remote

Senior Level

6+ years exp

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FinanceFinancial Services

Hiring Manager

Sadia Khan

Insider Connection @Rapid Finance

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Partner with business teams to implement data solutions, KPI’s, automated reporting, and data-related improvements.

Design, develop, and evaluate recurring and ad hoc reporting/dashboards in Power BI.

Configure data mart schemas within the data warehouse per the specifications of the BI Development team.

Lead analytics for the Marketing team by developing key performance indicators and analyzing marketing metrics.

Document data characteristics to ensure product delivery meets requirements.

Support Sales and Client Service by studying product usage patterns and identifying new customers.

Develop and deploy ETL scripts to extract data from source systems and populate data marts.

Create visualizations, Dashboards, and reports for projects.

Monitor data quality, analytics, and metrics results.

Turn data into actionable insight.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data analysisAI/Machine LearningData architecturesStatistical techniquesStatistical computer languagesTableauSQLPythonMS PowerBIIC DatabasesBusiness IntelligenceData WarehousingAgile Development methodologyKimball SDLCTechnical writingETL scriptingRE-R data modelingDimensional data modelingData visualizationDAXData miningForecastingSimulationPredictive modelingDatabase synchronizationData reload processesData cleansingDatabase audit logsMetadata management

Required

B.A./B.S. from an accredited university in Mathematics, Marketing Analytics, Information Systems, Business Information Technology, Economics; Computer Science, Statistics or a similar quantitative related field. Master’s degree in these disciplines are preferred.

6+ years of professional data analysis experience and DW/BI projects

Strong knowledge of AI/Machine Learning, data architectures, statistical techniques, and statistical computer languages

Thorough understanding of the following specific tools/technologies – Tableau, SQL, Python, MS PowerBI, IC Databases, Business Intelligence, Data Warehousing, including the skills to query database and recognize performance opportunities of reports/queries

Familiarity with Agile Development methodology and Kimball SDLC

Self-motivated with the ability to quickly learn new technologies

Strong written, presentation, and verbal communication skills (Technical Writing experience is a plus). Comfortable and experienced in one-on-one interviews and leading small meetings

Strong analysis, communications, interpersonal skills, and project management skills are essential

Problem Solver – Someone who makes recommendations by identifying the problem, collaborating with stakeholders and business process owners to solve complicated issues with sustainable processes and systems, with written documentation and follow up to test the implemented solution

Highly Organized – Ideal candidate will become a subject matter expert on all corporate data and be able to provide information upon request

Proven experience in ETL scripting and advanced knowledge of SQL, R, and Python

Experience in both E-R and dimensional data modeling

Experience with data visualization platform such as Microsoft Power BI, Tableau or DAX

Expertise in data mining, forecasting, simulation, and/or predictive modeling

Experience with database synchronization, incremental/periodic data reload processes, data cleansing, database audit logs and metadata management

Experience developing data marts for BI applications

Preferred

Master’s degree in Mathematics, Marketing Analytics, Information Systems, Business Information Technology, Economics; Computer Science, Statistics or a similar quantitative related field

Experience or education in banking deposits, loan instruments, accounting (general ledger systems), Marketing or MCIF (Marketing Information Customer file) systems experience or corporate finance is a plus

Experience or knowledge of QlikView, Qlik Sense, Azure Databricks, Azure Data Factory, Data Lake Analytics, SSRS, SSIS and Power BI is a plus

Technical Writing experience