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Data Analyst

Job in Rockville, Montgomery County, Maryland, 20849, USA
Listing for: Tential Solutions
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 110000 USD Yearly USD 70000.00 110000.00 YEAR
Job Description & How to Apply Below

We are seeking a Data Analyst with strong problem-solving and data analytics experience to join the Strategic Insights & Reporting (SI&R) team. As a Data Analyst, you will leverage analytical and technical skills to design, build, and maintain data solutions that address business challenges and support informed decision-making. This role will develop scalable analytics solutions and web applications using Dataiku, build business intelligence solutions with Amazon Quick Sight and Microsoft Power BI, and promote user adoption through documentation, knowledge sharing, and hands‑on training.

Essential

Job Functions
  • Designing and developing interactive dashboards, reporting solutions, and decision-support tools that transform complex data into actionable insights using Power BI, Amazon Quick Sight, and VBA.
  • Executing analytics projects, including data sourcing, documentation, and analysis.
  • Creating user documentation and delivering training, demonstrations, and knowledge-transfer sessions.
  • Designing, developing, testing, and maintaining Dataiku workflows, reusable analytics components, and web applications.
  • Accessing, compiling, and analyzing large volumes of data from multiple sources.
  • Developing process maps and documenting business requirements to support project initiatives.
  • Building end-to-end workflow automation solutions using Microsoft Power Automate to improve efficiency, data quality, and operational effectiveness.
  • Utilizing SQL, R, Python, SAS, or SPSS to perform data manipulation and analysis.
  • Applying statistical and advanced analytics methodologies to solve business problems.
  • Collaborating with cross‑functional teams to develop proof‑of‑concept solutions and transition them into production‑ready applications.
  • Presenting prototypes, findings, and recommendations to stakeholders across the organization.
  • Ensuring data quality, accuracy, and consistency across reporting and analytics solutions.
  • Researching and interpreting complex data sources to derive meaningful insights.

    Supporting best practices related to data integrity, governance, and repeatable analytical processes.
Education & Experience Requirements
  • Bachelor's degree in Finance, Mathematics, Operations Research, Computer Science, or a related field required.
  • Master's degree preferred.
  • Experience with business process mapping, requirements gathering, and documentation.
  • Banking, capital markets, or broker‑dealer industry experience is a plus.
  • 3+ years of experience writing complex SQL queries and working with relational databases.
  • Experience with business intelligence and visualization tools such as Power BI, Tableau, Cognos Analytics, or VBA.
  • Hands‑on experience with Dataiku, including workflow development, reusable analytics solutions, and web application development.
  • Experience designing and developing dashboards and business intelligence solutions using Amazon Quick Sight.
  • Ability to document technical solutions and train users with varying levels of technical expertise.
  • Experience developing user‑friendly analytical applications that translate business requirements into scalable solutions.
  • Ability to work both independently and collaboratively in a fast‑paced, proof‑of‑concept environment.
  • Strong verbal and written communication skills, with the ability to explain technical concepts to diverse audiences.
  • Experience working in research or modeling environments utilizing Python and/or R.
Work Environment
  • Hybrid work schedule with a minimum of three days onsite per week.
  • Candidates must reside within commuting distance of an office location.
  • Fast‑paced, hands‑on environment focused on innovation, analytics, and continuous improvement.
  • Opportunity to work on impactful projects that drive operational insights and decision‑making.
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