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

Ciandt; Colombia; Remote; COP 36,000,000 - 54,000,000; 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. You will ensure curated data and reports align with Finance benchmarks and support reconciliation across cutover periods.

Responsibilities include building data quality dashboards in Power BI, performing parallel-run comparisons, and documenting data quality rules for post-handoff support. Fluent English (B2) is required for client interactions.

Qualifications

• Solid data analyst/BI experience with hands-on SQL for querying, validation and reconciliation.
• Experience building or validating Power BI reports/dashboards.
• Familiar with data-quality/reconciliation frameworks (dbt tests, Great Expectations).
• Experience with accounting data and closed-period reconciliation.
• Strong attention to detail and clear data quality documentation.
• Fluent English (B2) coordinating with client stakeholders at gates.
• Experience with a cloud data warehouse (Snowflake preferred).

Responsibilities

• Define and run data quality checks and reconciliation logic against the curated data layer.
• Validate migrated reports and dashboards for parity with legacy outputs.
• Profile and investigate data quality issues with Data Engineering.
• Build and maintain data quality dashboards in Power BI for stakeholders.
• Partner with Finance to define acceptance criteria and thresholds.
• Produce acceptance evidence at each delivery gate, including cutover.
• Document data quality rules for the client's post-handoff team.

Skills

SQL

Power BI

Data quality

Data reconciliation

English (B2)

Tools

Snowflake

dbt

Great Expectations

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).
• Experience working with 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.
• Experience with a cloud data warehouse (Snowflake preferred).

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 in mortgage, lending, or financial‑services reporting.

#LI-TO1

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.