[Job-31838] Senior Data Analyst (Data Quality & Reporting), Colombia

CI&T; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Premium Healthcare

Meal voucher

Maternity and Parental leaves

Mobile services subsidy

Sick pay-Life insurance

CI&T University

Colombian Holidays

Paid Vacations

Job summary

CI&T is seeking a Data Analyst focused on data quality and reporting for a large-scale Finance data platform modernization at a major US mortgage lender. You will ensure curated data and reports align with trusted Finance benchmarks through QA, reconciliations, and governance.

You will validate migrated reports, build data quality dashboards in Power BI, and collaborate with Finance and delivery stakeholders to define acceptance criteria and sign‑offs at delivery gates.

Qualifications

• Solid experience as a data analyst or BI analyst with SQL proficiency.
• Hands‑on experience building or validating reports/dashboards in Power BI or similar.
• Experience with data quality or reconciliation frameworks (dbt tests, GE) or formal reconciliation.
• Comfortable with financial/accounting data and closed-period reconciliation.
• Strong attention to detail and clear written data quality documentation.
• Fluent English (B2) coordinating with client stakeholders.

Responsibilities

• Define and run data quality checks against the curated data layer and compare to Finance benchmarks.
• Validate migrated reports and dashboards for parity with legacy output during cutover.
• Profile and investigate data quality issues and variances with Data Eng for root cause.
• Build and maintain data quality dashboards/reports in Power BI for Finance and delivery stakeholders.
• Define acceptance criteria and quality thresholds with Finance and business stakeholders.
• Produce acceptance evidence at each delivery gate, including sign-off packages.
• Document data quality rules and issues for client handoff.

Skills

Data quality checks

SQL

Data reconciliation

Power BI

Documentation

English communication

Tools

dbt tests

Great Expectations

BI tooling

Job description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

About Us:

At CI&T, our rapid growth is fueled by the innovative solutions we create for our global clients. We are seeking a Data Analyst with a focus on data quality and reporting for a large-scale Finance data platform modernization at a major US mortgage lender — making sure the curated data and reports built on the new platform are correct and tie out to trusted Finance benchmarks. Pipeline-level monitoring and CI/CD are owned by the DataOps Engineer; this role is about the data and the numbers, not the pipeline mechanics.

Responsibilities:

• Define and run data quality checks and reconciliation logic against the curated data layer, comparing results to approved Finance benchmarks and closed accounting periods.
• Validate migrated and re-pointed reports and dashboards for parity against their prior legacy-source output, including parallel-run comparisons during cutover — running old and new side by side and confirming they tie out within agreed tolerance.
• Profile and investigate data quality issues and reconciliation variances, working with Data Engineering to identify and document root cause.
• Build and maintain data quality dashboards/reports in Power BI (or the equivalent BI tool) so quality status and known variances stay visible to Finance and delivery stakeholders on an ongoing basis.
• Partner with Finance and business stakeholders to define acceptance criteria and quality thresholds for each reporting deliverable.
• Produce the acceptance evidence — reconciliation results, parallel-run comparisons, sign-off packages — required at each delivery gate, including the cutover gate.
• Document data quality rules and known issues in a form the client’s own team can maintain post-handoff.

Requirements:

• Solid experience as a data analyst or BI analyst, with strong hands‑on SQL for querying, validating, and reconciling data.
• Hands‑on experience building or validating reports/dashboards in Power BI or a comparable enterprise BI tool.
• Experience with a data‑quality or reconciliation framework or methodology (e.g. dbt tests, Great Expectations, or a structured manual reconciliation practice).
• Comfortable working with financial/accounting data and closed-period reconciliation constraints.
• Strong attention to detail and clear written documentation of data quality findings.
• Fluent English (B2) — coordinates quality findings and evidence directly with client stakeholders at delivery gates.

Nice to Have:

• Experience with financial/GL reporting domains (chart of accounts, dimensions, close process).
• Experience validating report or dashboard migrations off a legacy source system onto a new platform.
• Experience with a cloud data warehouse (Snowflake preferred).
• Experience in mortgage, lending, or financial‑services reporting.

Our benefits include:

• Premium Healthcare

• Meal voucher

• Maternity and Parental leaves

• Mobile services subsidy

• Sick pay-Life insurance

• CI&T University

• Colombian Holidays

• Paid Vacations

And many others.

Collaboration is our superpower, diversity unites us, and excellence is our standard.

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.