Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 63 days ago

Senior Data Analyst (Remote)

Access Information Services59 open roles

Where
Peabody, MA, USA
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Data Analyst (Remote)Access Information Services · Peabody, MA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Access Information Services's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 63 days ago

The posting

The Senior Data Analyst will help build trusted Finance data products and expand self-service analytics across FP&A. Working within the enterprise architecture and standards established by Shared Data Services, this role will translate Finance needs into scalable data solutions, validate and operationalize delivered assets, and directly build data models, transformations, pipelines, and dashboards when needed.

This is a highly technical individual-contributor role combining hands-on SQL and Python development, advanced analytics, data quality, business intelligence, and stakeholder partnership. The role will help Finance move from manual and fragmented analysis toward reusable data products that support driver-based forecasting, portfolio performance analysis, ad hoc decision support, and executive reporting.

Primary Responsibilities

Build Trusted Finance Data Products

  • Build, enhance, and maintain Finance tables, views, transformations, pipelines, and analytical models within established enterprise architecture, security, development, and governance standards.
  • Develop reusable data products supporting bookings, customers, billing, revenue, operational activity, and portfolio performance.
  • Use SQL and Python to automate data preparation, validation, and analytical workflows, and convert repeatable analyses into scalable assets.
  • Apply appropriate source control, testing, deployment, monitoring, and documentation practices to Finance data products.

Partner, Validate, and Operationalize

  • Translate FP&A and Portfolio Analytics needs into clear source requirements, data grain, business rules, transformation logic, quality controls, and acceptance criteria.
  • Own Finance requirements, prioritization, validation, and acceptance for data products delivered in partnership with onshore and offshore Shared Data Services teams.
  • Reconcile outputs to source systems, financial reporting, operational reporting, and approved methodologies; identify and resolve data quality issues, logic gaps, hierarchy problems, and incomplete coverage.
  • Maintain documentation for metric definitions, data lineage, business rules, assumptions, and known limitations, and coordinate issue resolution through Finance sign-off.

Deliver Advanced Analytics and Self-Service

  • Use SQL, Python, and appropriate analytical methods to solve complex customer, revenue, pricing, forecasting, portfolio, and operational questions.
  • Build semantic models, dashboards, and analytical tools using Power BI or a comparable enterprise business intelligence platform.
  • Enable FP&A users to independently answer recurring business questions with trusted data, reducing manual extracts, spreadsheet-based preparation, and one-off reporting.
  • Use approved AI-assisted development tools to improve coding, testing, documentation, and analytical productivity while validating outputs and protecting confidential data.

Education and Experience

  • Bachelor's degree in a technical, quantitative, analytical, Finance, or business discipline; equivalent relevant professional experience may be considered.
  • Five or more years of relevant experience in data analytics, analytics engineering, data engineering, business intelligence, or a related field.
  • Demonstrated experience independently delivering complex data and analytical solutions. Finance, FP&A, commercial analytics, or executive reporting experience is helpful but not required.

Required Qualifications

  • Advanced SQL and strong dimensional and analytical data-modeling skills.
  • Proficiency in Python for data processing, automation, and advanced analytics.
  • Experience developing or supporting ETL/ELT pipelines and reusable analytical datasets.
  • Hands-on experience with a modern cloud data warehouse or lakehouse environment.
  • Experience with data reconciliation, quality assurance, troubleshooting, and documentation.
  • Experience developing semantic models, dashboards, or business intelligence solutions.
  • Ability to translate ambiguous business requirements into scalable analytical and technical solutions.
  • Familiarity with source control, testing, deployment, and production support practices.

Preferred Qualifications

  • Experience with Microsoft Fabric and Azure data services, including lakehouses, warehouses, notebooks, pipelines, or related analytical workloads.
  • Power BI experience, including semantic modeling and DAX.
  • Experience with Git, CI/CD, orchestration, monitoring, or production support.
  • Experience supporting Finance, FP&A, commercial analytics, or executive reporting.
  • Familiarity with forecasting, customer analytics, revenue analytics, or portfolio analytics.
  • Experience working with centralized or shared enterprise data teams.

Knowledge, Skills, and Abilities

  • Strong technical problem-solving skills and the ability to execute independently.
  • Consultative approach and the ability to communicate effectively with technical and nontechnical stakeholders.
  • Strong attention to data accuracy, controls, validation, and methodological consistency.
  • Ability to manage multiple priorities, dependencies, and deliverables with clear follow-through.
  • Curiosity, sound judgment, and a bias toward action and iterative delivery.
  • Ability to learn new technologies, data sources, and business concepts quickly.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment.EEO/AA/Minorities/Females/Disabled/Vets.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Access Information Services's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Access Information Services's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Access Information Services's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.