LBMC, PC

Data Analyst

Job description

LBMC TECHNOLOGY OVERVIEW

Over the past year, LBMC has been in growth mode receiving accolades including being named 2021 Best Firms for Technology by Accounting Today and recognized as one of the 2021 Best Workplaces by Consulting & Professional Services (#35 nationally). Accounting Today also named LBMC as a Top 5 Pacesetter for Growth after adding more than 25% to our workforce during COVID. LBMC is based in Nashville and we have industry-leading benefits including both remote and in-person work options, dynamic technology solutions, financial incentives for training and certifications, and curated professional growth organizations such as the Women’s Initiative Network, Lending Hands community initiative, Young Professionals group, and robust Talent Development offerings.

OPPORTUNITY

This Data Analyst role is a great opportunity for anyone passionate about technology, innovation, and solving complex issues for LBMC clients. LBMC's Data Insights' division is a rapidly growing analytics consulting practice focusing on delivering high-end modern data platform and analytics solutions for sophisticated clients.

LBMC Data Analysts will work with LBMC Data Insights’ clients to build scalable and reliable analytics solutions through collaboration with a multi-disciplinary team. Candidates should be highly skilled in all aspects of data analytics, including mining, generation, and visualization and anyone that is committed to transforming data into readable, goal-driven reports for continued innovation and growth is highly encouraged to apply. Fully remote work may be available to qualified candidates, but some travel may still be required as requested by clients.

SCOPE OF WORK

  • Work closely with internal and external business stakeholders to identify data and analytics needs including critical metrics and KPIs to deliver actionable insights for decision-makers. Provide project status updates and continually build on the relationship between LBMC Data Insights and its clients
  • Evaluate client data for problems and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
  • Analyze large complex data sets to identify trends/key findings in the data and produce summaries/ad-hoc reports that are meaningful in a business context
  • Consults with project stakeholders and educates team on understanding data sets to take complicated problems and build simple frameworks and analytics models/reports
  • Provide source-to-target mappings and information-model specification documents for data sets
  • Create best-practice reports based on data mining, analysis, and visualization
  • Proactively analyze data to answer key questions from stakeholders with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
  • Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
  • Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution
  • Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across data sets

IDEAL CANDIDATE PROFILE

  • Bachelor’s degree in MIS, CIS, Computer Science, Analytics, or a related field
  • 3+ years’ experience mining data or working as a Data Analyst within a highly collaborative team-oriented environment (healthcare experience is a plus)
  • Strong programming experience (ETL and SQL preferred) and practical hands-on work experience with PowerApps, Power Automate, Azure, and PowerBI
  • Prior experience with database and model design and segmentation techniques preferred
  • Proven analytic skills, including mining, evaluation, analysis, and visualization
  • Technical writing experience in areas including queries, reports, and presentations with a high attention to detail and organization

UrqoMbNUNx

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