Senior Data Analyst

6 days ago

Chennai, Tamil Nadu, India Constient Global Solutions Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Senior Data Analyst (Finance & Accounting)About the Role

We're looking for a Senior Data Analyst to turn large, messy financial datasets into clear, actionable insights. You'll partner with Finance, Accounting, and Engineering to design robust analyses, build decision-ready dashboards, and drive reconciliation accuracy across bank files, GL feeds, and sub-ledgers.

What You'll Do

  • Own analytics for finance workflows:
    Depository Account Reconciliation (DAR), AP/AR, Daily Income Journal (DIJ), revenue recognition, month-end close, variance analysis.
  • Data wrangling & modeling:
    Ingest, clean, and model data from BAI/BAI2 bank files, GL (Oracle/Yardi/MRI/NetSuite), PMS/ERP exports, payment gateways, and data lakes.
  • EDA → inference:
    Frame hypotheses, run exploratory/statistical analyses, and deliver clear narratives with quantified impact (trends, anomalies, outliers, correlations).
  • Reconciliation analytics:
    Build matching logic (exact/fuzzy/multi-key), exception buckets, and root-cause drill-downs for unmatched transactions.
  • Metrics & dashboards:
    Define and publish finance KPIs (auto-match %, write-offs, DSO, unapplied cash, exceptions aging) via curated semantic layers and BI dashboards.
  • Data quality stewardship:
    Establish checks, controls, and monitoring (balance checks, duplicate detection, schema drift, completeness/timeliness tests).
  • Stakeholder enablement:
    Translate CFO/Controller questions into analysis plans; document assumptions; present findings to execs with crisp recommendations.
  • Automation partnership:
    Collaborate with data engineering to productionize repeatable pipelines, models, and audits; create specs for dbt/ETL jobs.
  • Compliance-aware analysis:
    Ensure work products support
    SOX
    controls and align with
    US GAAP
    ; maintain reproducible, auditable notebooks and artifacts.

Must-Have Qualifications

  • 5–8+ years in data analysis/analytics (at least 3 years in
    Finance/Accounting
    analytics).
  • Strong SQL
    (window functions, CTEs, query optimization) and
    Python
    (pandas, NumPy; statsmodels/scikit-learn for light modeling).
  • Proven experience with
    GL/AP/AR
    data, bank statement structures (e.g.,
    BAI/BAI2
    ), and reconciliation/matching logic.
  • Hands-on with a modern BI tool (Power BI / Tableau / Looker / Superset) and version-controlled analytics (git).
  • Excellent storytelling: converts ambiguous business questions into testable analyses and executive-friendly outputs.
  • Solid grasp of accounting concepts (journal entries, trial balance, revenue vs. receipts, accruals/deferrals) and
    controls mindset
    .

Nice to Have

  • dbt, Airflow/Prefect, Dagster; Snowflake/BigQuery/Redshift; AWS (S3, Glue, Athena, Lambda).
  • Experience with
    anomaly detection
    , fuzzy matching (record linkage), and rule-based + ML hybrid matching.
  • Familiarity with
    SOX
    ,
    GAAP
    , audit evidence, and finance close calendars.
  • Exposure to payments/settlement data, PMS/ERP integrations, or RPA/agentic automations.
  • Basic proficiency with GitHub Actions/CI for analytics artifacts.

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