Reporting analyst role: the report catalogue you inherit and run

You inherit a catalogue, not a blank page

On day one nobody asks a reporting analyst to "find insights". You are handed 20 to 60 reports that already exist, some healthy, some half-broken, most undocumented. The first useful thing you can build is a report catalogue. Here is a trimmed example for a hypothetical consumer lending company.

Two columns do the real work: Consumer (so you know whom to warn when a number is late) and Check before release (so a silent upstream failure does not reach the CFO). If a report has no named consumer, ask whether anyone still reads it. Retiring dead reports is a legitimate and valued part of the job.

A week's queue, as it actually arrives

Requests come in through email, a ticket tool like Jira or Freshservice, or a WhatsApp message from a manager. A realistic week:

1. 1Monday: collections report shows zero for one branch. Cause: branch code changed in the source system. Fix the mapping, re-run, email the collections head.
2. 2Monday: add a "first EMI bounce" column to the daily disbursals report.
3. 3Tuesday: finance says the portfolio pack book size is off by a small amount. Trace it to loans closed on the last day of the month being counted by close date in one query and by posting date in another.
4. 4Wednesday: a zonal head asks for the productivity report by product. Clarify whether they want it once or every week before building anything.
5. 5Thursday: migrate two Excel-based reports into the BI tool with scheduled refresh.
6. 6Friday: write the definition of "active customer" into the catalogue after two teams used different ones.

Notice the pattern: roughly half the week is keeping existing numbers right, a quarter is small enhancements, and the rest is definition and documentation work.

What good looks like, in numbers

Reporting analysts are commonly measured on:

• percentage of scheduled reports delivered on time;
• number of data incidents that reached a consumer before you caught them;
• ticket turnaround for small changes;
• number of reports moved from manual to automated refresh;
• adoption, such as dashboard views, where the BI tool records them.

The second metric is the one to improve deliberately. Every incident you catch upstream is an incident your manager never hears about.

The finance, sales and IT people behind each report

A reporting analyst typically reports to an analytics manager, MIS head, or business intelligence lead. You work daily with the data engineering or IT team that owns the source tables, with finance for anything that must tie to the books, and with the business managers who consume the reports. In smaller companies you may also be the person who administers the BI tool's workspace and access.

The confusion with MIS executive and BI developer

The titles overlap, so judge by the work, not the label.

• An MIS executive mostly works from exports in Excel. A reporting analyst is expected to write SQL against a database or warehouse.
• A BI developer builds data models, complex measures and the reporting platform itself. A reporting analyst uses that platform and owns the reports' correctness and delivery.
• A data analyst is expected to run investigations. A reporting analyst may do some, but the reports come first.

Decoding the job description

Phrases like these usually indicate a genuine reporting analyst role:

"Maintain and automate recurring business reports using SQL and Power BI/Tableau."

"Ensure data accuracy and timely delivery of daily and monthly dashboards."

"Work with data engineering to resolve data quality issues."

These suggest something else:

"Build and maintain the enterprise semantic model and deployment pipelines." (closer to BI developer)

"Design experiments and build predictive models." (data analyst or data scientist)

"Prepare MIS in Excel and coordinate with branches." (MIS executive)

Taking over a catalogue in 90 days

1. 1Weeks 1–4: build the catalogue above and run every report yourself at least once.
2. 2Weeks 5–8: add a release check to the three reports with the most senior consumers.
3. 3Weeks 9–12: automate one manual report end to end and retire at least one unused one.

Next steps from here

Reporting analysts commonly move into data analyst, BI developer or analytics engineer roles. The deciding factor is which part you enjoyed: investigating questions, building models and measures, or making the underlying tables trustworthy. Read how an MIS executive role differs if you are earlier on this path.

Our Data Analyst programme teaches the SQL, Power BI and verification habits this role runs on, with live online sessions and optional Noida labs.