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Next cohort starts 25 September 2026Enrolment closes 1 October 2026Limited seats

KLYMB.AI
Enrolling now30 days · 4 assessments · mock interviews

Reporting Analyst→ Analytics Automation Lead

Excel or spreadsheet analysis, SQL basics, dashboards, data interpretation and business reporting.

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What's changing in this role

Recurring reports and simple data requests are increasingly answered by natural-language tools. Value moves to defining metrics, data quality and explaining what numbers mean.

What you carry over

  • + Knowing where the data is wrong
  • + Business context behind each metric
  • + Stakeholder trust

Who it is for

Built for people like you.

  • MIS and reporting executives
  • Graduates targeting analyst roles
  • Operations and finance staff who work with data

Skills covered

What you will practise.

  • Spreadsheet analysis
  • SQL basics
  • Dashboards
  • Data cleaning
  • Data interpretation
  • Business reporting
  • AI-assisted analytics

30-day overview

Every day, planned.

Four weekly phases of daily problems, an assessment after each week, and mock interviews on Days 29–30. Open a week to see what is covered.

Week 1Days 1–7FoundationsSpreadsheet and data foundationsCore analysis skills, and what self-serve AI tools now handle.
  1. Day 1Cleaning a messy dataset — Fix duplicates, blanks and inconsistent formats in sales data.
  2. Day 2Lookups and pivots — Answer five business questions with lookups and pivot tables.
  3. Day 3Choosing the right chart — Visualise the same data three ways and pick the clearest.
  4. Day 4Metric definitions — Define 'active customer' so two teams agree.
  5. Day 5Asking AI about data — Use an AI tool to analyse a sheet and verify its answers.
  6. Day 6What self-serve tools answer — Audit a report pack for what AI can already produce.
  7. Day 7Weekly assessment: Report pack auditAudit a reporting pack for what a self-serve tool answers, and what still needs an analyst.Practical task + short written reasoning, scored against a rubric
Week 2Days 8–14Practical executionSQL and metric ownershipQuerying data yourself and owning definitions so answers stay consistent.
  1. Day 8SELECT, WHERE, GROUP BY — Query an orders table to answer weekly sales questions.
  2. Day 9JOINs — Combine customers and orders without double counting.
  3. Day 10Data quality checks — Write queries that catch missing and invalid records.
  4. Day 11Contested metric — Resolve two conflicting revenue numbers.
  5. Day 12Semantic layer basics — Document metrics so AI tools answer consistently.
  6. Day 13Writing the insight — Turn a table of numbers into three clear sentences.
  7. Day 14Weekly assessment: Metric defenceDefine a contested metric and defend the definition with SQL evidence.Practical task + short written reasoning, scored against a rubric
Week 3Days 15–21Real-world problem solvingDashboards and automationBuilding dashboards and replacing manual reporting cycles.
  1. Day 15KPI dashboard — Build a one-page dashboard for a sales head.
  2. Day 16Automating a monthly report — Replace a manual copy-paste process with a repeatable one.
  3. Day 17Anomaly investigation — Explain a sudden 30% drop in sign-ups.
  4. Day 18Generated narratives — Draft commentary with AI and correct what it gets wrong.
  5. Day 19Stakeholder request triage — Handle five conflicting data requests.
  6. Day 20Presenting findings — Present an analysis to a non-technical audience.
  7. Day 21Weekly assessment: Automated cycleReplace one manual reporting cycle with an automated pipeline.Practical task + short written reasoning, scored against a rubric
Week 4Days 22–28Portfolio and interview readinessGovernance and portfolioData quality, trust and packaging your analysis work.
  1. Day 22Data lineage — Document where each dashboard number comes from.
  2. Day 23Guardrails for AI answers — Decide which questions AI tools may answer.
  3. Day 24Business case — Use data to recommend a decision.
  4. Day 25Portfolio: dashboard — Finalise and document your dashboard project.
  5. Day 26Portfolio: walkthrough — Present your analysis in 5 minutes.
  6. Day 27Interview drill: case study — Solve a data case study under time pressure.
  7. Day 28Weekly assessment: Governed systemPresent a governed, automated reporting system.Practical task + short written reasoning, scored against a rubric
Days 29–30Mock interviews for Reporting AnalystTechnical, scenario and behavioural rounds with written feedback. Topics: Excel/Sheets functions, SQL, Dashboards and visualisation, Data cleaning, Business case studies, Communicating insights.

Weekly assessment previews

Four checkpoints. Real feedback.

  1. After Day 7Report pack auditAudit a reporting pack for what a self-serve tool answers, and what still needs an analyst.
  2. After Day 14Metric defenceDefine a contested metric and defend the definition with SQL evidence.
  3. After Day 21Automated cycleReplace one manual reporting cycle with an automated pipeline.
  4. After Day 28Governed systemPresent a governed, automated reporting system.

Expected outcomes

What you will be able to do.

  • Clean and analyse data in spreadsheets
  • Write SQL queries to answer business questions
  • Build clear dashboards
  • Define and defend metrics
  • Communicate insights to stakeholders

Role-specific projects

Evidence you can show.

  • KPI dashboard built on cleaned data with SQL queries
  • Automated monthly report with metric definitions and data-quality checks

Interview preparation & mock interviews

Practise the questions Reporting Analyst interviews actually ask.

Preparation runs through Week 4. Mock interviews happen on Days 29 and 30, with written feedback.

  • Excel/Sheets functions
  • SQL
  • Dashboards and visualisation
  • Data cleaning
  • Business case studies
  • Communicating insights
  • Technical

    What is the difference between an INNER JOIN and a LEFT JOIN?

  • Technical

    How would you find duplicate records in a table?

  • Scenario

    Sales dropped 20% last month. How do you investigate?

  • Scenario

    Two teams report different revenue numbers. What do you do?

30-Day Job Readiness Program · Reporting Analyst

₹14,999

Cohort starts 25 September 2026. Cohort size is limited because every weekly assessment and mock interview gets individual feedback.

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