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Reporting And Analytics Manager Jobs in Reston, VA

Provide general analytical support to sales management to support ad-hoc business requirements ... Develop new standardized reporting packages designed to strengthen the insights and decision ...

The ideal candidate brings experience building reports and dashboards using modern analytics tools ... time management. Recruitment Transparency Notice Eliassen Group values transparency in our ...

Manager, Analytics & AI

Washington, DC · On-site

$86K - $100K/yr

Reporting to the Head of Analytics, you will partner with major clients across tech, healthcare, ... Evangelize smart data analytics internally and externally, manage complicated deadlines, nurture ...

Manager, Analytics & AI

Washington, DC · On-site

$86K - $100K/yr

Reporting to the Head of Analytics, you will partner with major clients across tech, healthcare, ... Evangelize smart data analytics internally and externally, manage complicated deadlines, nurture ...

Manager, Analytics & AI

Washington, DC · On-site

$86K - $100K/yr

Reporting to the Head of Analytics, you will partner with major clients across tech, healthcare, ... Evangelize smart data analytics internally and externally, manage complicated deadlines, nurture ...

Reporting to the Head of Analytics, you will partner with major clients across tech, healthcare, ... Evangelize smart data analytics internally and externally, manage complicated deadlines, nurture ...

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Reporting And Analytics Manager information

See Reston, VA salary details

$67.6K

$141.3K

$156.6K

How much do reporting and analytics manager jobs pay per year?

As of Jun 27, 2026, the average yearly pay for reporting and analytics manager in Reston, VA is $141,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,600.00 and $144,600.00 per year, depending on experience, location, and employer.

What is the difference between Reporting And Analytics Manager vs Data Analyst?

AspectReporting And Analytics ManagerData Analyst
Required CredentialsBachelor's degree in Business, Data Science, or related field; often advanced certificationsBachelor's degree in Statistics, Data Science, or related field; certifications are a plus
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, creates reports, supports decision-making
Employer & Industry UsageCommon in corporate, finance, marketing sectorsWidely used across industries for data interpretation

The Reporting And Analytics Manager focuses on overseeing analytics teams and strategic reporting, while Data Analysts primarily perform data analysis and report creation. Both roles require strong analytical skills, but the manager role involves leadership and project management, making it more strategic.

What are Reporting and Analytics Managers?

Reporting and Analytics Managers are professionals responsible for overseeing the collection, analysis, and presentation of data to support business decision-making. They design and manage reporting systems, ensure data accuracy, and provide actionable insights to various departments. Their role often involves collaborating with IT, business stakeholders, and data teams to develop dashboards, reports, and performance metrics. By interpreting complex data, they help organizations optimize operations and achieve strategic goals.

What are some common challenges faced by Reporting and Analytics Managers, and how can they be addressed?

Reporting and Analytics Managers often encounter challenges such as ensuring data quality, integrating data from multiple sources, and translating complex analytics into actionable insights for stakeholders. To address these, it's important to establish robust data governance frameworks, collaborate closely with IT and business teams, and invest in continuing education on the latest analytics tools and methodologies. Clear communication and regular meetings with stakeholders can also help ensure that analytical findings are understood and utilized effectively.

What are the key skills and qualifications needed to thrive as a Reporting and Analytics Manager, and why are they important?

To thrive as a Reporting and Analytics Manager, you need expertise in data analysis, reporting, and business intelligence, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Tableau, Power BI, and advanced Excel, along with certifications in analytics or BI platforms, is highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data into actionable insights and manage cross-functional teams. These competencies ensure that organizations can make informed decisions, drive performance, and maintain a competitive edge using data-driven strategies.
What job categories do people searching Reporting And Analytics Manager jobs in Reston, VA look for? The top searched job categories for Reporting And Analytics Manager jobs in Reston, VA are:
What cities near Reston, VA are hiring for Reporting And Analytics Manager jobs? Cities near Reston, VA with the most Reporting And Analytics Manager job openings:
Infographic showing various Reporting And Analytics Manager job openings in Reston, VA as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $141,282 per year, or $67.9 per hour.

Analyst - Valuations & Business Intelligence Reporting

AGNC Mortgage Management, LLC

Bethesda, MD • On-site

Full-time

Posted 13 days ago


Job description

Overview
We are seeking a technically driven Analyst to join our Valuations & Business Intelligence Reporting team at AGNC. This is a quantitative, engineering-forward role for someone who thrives at the intersection of software development and financial markets.
In this role, you will help value AGNC's asset and liability portfolios by applying fixed-income models and financial market knowledge to business and financial data. You will also leverage advanced business intelligence tools and techniques to support reporting, analytics, and data-driven insights. In addition, this role will support the execution of our agency MBS prepayment forecasting process and related analyses. You will own the end-to-end data pipelines that drive daily fair-value pricing and prepayments across our MBS, debt, and derivatives portfolios. This includes but is not limited to fetching raw data via APIs and data warehouses through finalized Parquet outputs that power our dashboards and reports.
This is an excellent opportunity for a junior software engineer eager to apply their technical foundation in a sophisticated financial environment and grow into a subject matter expert on fixed income valuation. No prior finance experience is required; we will teach you the business. What we need is someone who writes clean, production-quality Python code and has a genuine curiosity about fixed income markets and how they operate.
Responsibilities
Valuation & Pricing
  • Execute and monitor daily fair-value pricing for the Company's securities, debt, and derivatives portfolios for use by the Trade Desk, Risk Management, and Financial Reporting.
  • Maintain valuation methodologies for mortgage-backed securities, other mortgage-related investments, and derivatives portfolios.
  • Analyze prepayment forecasts from third-party models for reasonableness and incorporation into risk analytics and accounting forecasts.
  • Conduct financial analysis and forecasting including interest rate/spread shock scenarios and sensitivity analysis.
  • Discuss markets and fixed income concepts and trends with internal participants, including Trade Desk, Middle Office, and Financial Reporting.

Data Engineering & Automation
  • Build, maintain, and improve Python-based data pipelines that ingest data from external APIs, internal data warehouses, pricing services, and proprietary file sources.
  • Produce and validate finalized Parquet data files that serve as the foundation for Power BI reporting dashboards.
  • Automate and optimize recurring daily, monthly, and quarterly valuation and reporting processes.
  • Implement robust data quality checks and exception handling within pipeline workflows.

Reporting & Analysis
  • Generate daily, monthly, and quarterly reporting packages for internal stakeholders (Trade Desk, Middle Office, Risk Management) and external/regulatory reporting.
  • Identify, monitor, and report on pricing developments and trends.
  • Maintain market intelligence through market research and frequent interaction with AGNC's trading desk, pricing services, and other third-party vendors.

Controls & Compliance
  • Maintain effective internal controls over financial reporting pursuant to SEC and other regulatory reporting requirements.
  • Interface with internal and external auditors on valuation and prepayment-related matters.
  • Complete special projects requiring financial services valuation expertise.

Qualifications
Minimum Requirements
  • This role is hybrid in our office in Bethesda, MD
  • 1+ year of relevant software engineering or data engineering experience.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Strong Python proficiency, including experience with data engineering patterns: API consumption, file I/O, data transformation, and pipeline orchestration.
  • Working knowledge of SQL for querying relational databases and data warehouses.
  • Familiarity with columnar data formats (e.g., Parquet) and business intelligence tools such as Power BI.
  • Strong analytical and problem-solving skills with high attention to detail.
  • Genuine interest in learning fixed income markets, mortgage products, and financial valuation concepts.

Preferred Qualifications
  • Experience in financial services, fintech, or a quantitative research environment.
  • Strong understanding of mortgage-backed securities, agency to-be-announced ("TBA") securities, and interest rate derivative products.
  • Excellent analytical skills and ability to understand complex financial concepts such as DCFs, OAS, Duration, Convexity, spreads, valuations, etc.
  • Master's degree in Finance, Financial Engineering, Computer Science, Mathematics, or a related discipline.
  • CFA, CQF, FRM, or active progress toward either designation.
  • Experience with Bloomberg's Terminal and excel API.
  • Familiarity with mortgage prepayment models.
  • Knowledge of cloud data warehouse environments.

PERSONAL PROFILE
  • Intellectually curious and excited to learn new domains and go deep on complex problems.
  • Ownership mindset: takes initiative, follows through without requiring close supervision.
  • Clear communicator who can translate technical findings into business-relevant insights for non-technical stakeholders.
  • Collaborative and collegial; comfortable working across trade desk, risk, middle office, and finance functions.
  • Comfortable in a fast-moving environment where processes are actively evolving and there is room to improve the tooling.