Company name will be shared upon confirmed interview

Data Solutions Analyst for a Large-Scale Retail & Automotive Services Company

Charlotte, North Carolina, United States (REMOTE)

A leading automotive services company powering one of North America’s largest networks of automotive care businesses. With 4,200+ locations across the U.S. and Canada and a portfolio of well-known brands, the company serves tens of millions of vehicles annually across maintenance, repair, collision, glass, and other essential services.

Salary up to:US$4,500

Timezone: GMT-5

Industries: Retail

Website:sensitive

We are seeking a Data Solutions Analyst to bridge business and technical teams and help shape effective, enterprise-minded data solutions. This role is primarily responsible for requirements discovery, business and data analysis, and connecting needs across an organization with multiple brands. The analyst will use SQL and hands-on data analysis to investigate business questions, validate requirements, assess data, and translate findings into clear requirements that data engineering, architecture, analytics, and reporting teams can act upon. The successful candidate will be curious about how the business operates, able to see relationships across brands and functions, and skilled at bringing structure to complex or ambiguous needs. Building production data pipelines is not the primary focus, but the ability to query and analyze data is required, and a strong understanding of dimensional modeling concepts is a significant advantage.

Tech Stack

SQL

4+ years in Data Analyst / Business analyst roles, or similar

Strong experience gathering and analyzing requirements for data, analytics, reporting, or technology solutions.

Demonstrated ability to bridge business and technical teams and translate between business needs and technical concepts.

Strong SQL skills and demonstrated experience querying, joining, aggregating, profiling, and analyzing data to answer business questions and validate requirements.

Strong data-analysis skills, including the ability to identify trends, anomalies, data-quality issues, relationships, and inconsistencies and communicate their business significance.

Ability to understand complex business processes, connect related needs, and maintain a broad enterprise perspective across multiple brands or business units.

Experience facilitating stakeholder discussions, resolving ambiguity, and building alignment across groups with different priorities.

Strong analytical, problem-solving, documentation, and communication skills and a working understanding of data sources, transformations, business rules, metrics, history, quality, and downstream consumption.

Every job requires English proficiency, being based in LATAM.

Bonus Skills

Understanding of dimensional modeling concepts and implementation, including facts, dimensions, grain, measures, conformed dimensions, Slowly Changing Dimensions, and historical data management.

Experience supporting enterprise data products across multiple brands, business units, or source systems.

Familiarity with Google Cloud Platform and Google BigQuery for querying and analyzing data; exposure to Dataform and Google Cloud Composer / Apache Airflow is beneficial.

Familiarity with GitHub, Google Cloud Build, CI/CD practices, metadata, lineage, data governance, or data quality processes.

Interview process

Time to hire:2-3 weeks

BEON.TECH ASSESSMENT STAGE

Initial Interview

30 min

Technical Interview

1 hr

THE CLIENT STAGE

To be confirmed soon

TBD

We are committed to provide equal opportunities

BEON.tech connects the brightest Latin American talent with the most innovative and disruptive U.S. companies. You'll get access to a custom vetted pool of full-time, remote software jobs with compensation comparable to U.S.-based positions. To join BEON.tech is to be in a devs-first company, which means you are the priority when it comes to decision-making, client selection, and growth planning. Develop your career at the pace you deserve.

Trip to Headquarters in Buenos Aires

A US$ 1,000 welcome package to get you started with the right gear

USD compensation comparable to U.S.-based positions

English conversation club & workshops

Health insurance

Psychotherapy sessions

Flexible payments in crypto, wire transfer, Wise, PayPal, or Payoneer

Unlimited reskilling in Udemy, Education IT & O'Reilly

Internet service

AI Tools & Learning Program

Co-working spaces

Paid time off

Participate in weekly challenges and win quarterly prizes.Top performers earn US$750 (1st place) and US$350 (2nd place).

In this role, you'll be expected to take ownership of the following responsibilities as part of your day-to-day work:

Partner with business stakeholders to understand their processes, objectives, challenges, measures of success, and decision-making needs.

Lead requirements discovery and translate business needs into clear business rules, data requirements, acceptance criteria, and solution objectives.

Write SQL queries and perform hands-on data analysis to profile data, investigate questions, validate assumptions, reconcile results, and support requirements and solution design.

Look beyond individual requests to identify connections, dependencies, common concepts, and shared opportunities across brands and business functions.

Balance enterprise consistency with legitimate brand-specific processes, terminology, metrics, and analytical needs.

Facilitate alignment between business stakeholders and technical teams so both share a common understanding of the problem, data, and intended outcome.

Work with Data Engineers, Data Architects, BI developers, analysts, and product partners to shape practical and scalable data solutions, including business events, measures, dimensions, grain, history, and source-system considerations.

Identify gaps, conflicts, assumptions, data-quality concerns, and ambiguities early and drive them to resolution before development begins.

Document requirements, definitions, analysis, decisions, and data needs clearly enough to support design, development, testing, and stakeholder acceptance.

Remain engaged throughout delivery to validate the solution against both the underlying data and the original business need.

Year founded: 1972

Company size: 5K-10K

Key details to catch your eye

Publicly traded on Nasdaq (DRVN), with approximately $1.9B in annual revenue and $6.1B in system-wide sales in 2025.

Technology powers operations at massive scale, supporting thousands of locations, millions of customers, and complex automotive service workflows.

4,200+ locations across North America, serving tens of millions of vehicles every year.

Data Solutions Analyst for a Large-Scale Retail & Automotive Services Company - BEON.tech

Company name will be shared upon confirmed interview