What it pays
Government survey numbers — not estimates, not ads.
Half of all Statisticians in the U.S. earn more than $105,650 a year — the middle 80% land between $64,000 and $174,050. About 29,030 people in the U.S. do this work. Figures are for the U.S. occupation group “Statisticians”. (U.S. Bureau of Labor Statistics survey, published 2025.) In India, Professionals earn about ₹38,298 a month on average — around ₹4.6 lakh a year (government PLFS survey via ILOSTAT, occupation-family figure).
$105,650typical pay / year
29,030people in this work
$174,050+top 10% earn
₹4.6 lakha year in India (family avg)
Think you get this job?Six quick questions on how it really works — with a hint and the reason behind every answer.
Test yourself →The work, task by task
These are the real jobs-to-be-done, not a wish list. Each task shows where we found it, and the prompt underneath is written for that exact task.
Analysing4
Apply statistical methods to data
+Run exploratory analysis on last quarter’s transaction logs to estimate seasonality and variance: clean the…
Apply statistical methods to data
+Run exploratory analysis on last quarter’s transaction logs to estimate seasonality and variance: clean the raw tables, compute summary statistics by region and product, fit a baseline regression, and deliver a one-page memo with charts to the head of analytics by Friday.
The tools that do the workIBM SPSS StatisticsMicrosoft ExcelESCOjob descriptionsO*NETWikipedia
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Analyze data to identify trends
+Analyze six months of sales data to identify emerging trends: join sales and customer tables, compute rolling…
Analyze data to identify trends
+Analyze six months of sales data to identify emerging trends: join sales and customer tables, compute rolling averages and growth rates, highlight three product categories with accelerating demand, and present the findings to commercial by Tuesday morning.
The tools that do the workApache Sparkjob descriptionsO*NETWikipedia
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Produce statistical reports and visualizations
+Produce weekly statistical reports for product engagement: calculate cohort retention, median session length,…
Produce statistical reports and visualizations
+Produce weekly statistical reports for product engagement: calculate cohort retention, median session length, and conversion funnels for May 2026, create three visualizations (retention curve, funnel chart, session density) and export a one-page PDF summary for the product manager by Thursday 3pm.
The tools that do the workMicrosoft Exceljob descriptionsO*NETWikipedia
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Develop and apply statistical principles
+Design and run statistical tests to compare feature A and feature B on retention: define hypotheses, compute…
Develop and apply statistical principles
+Design and run statistical tests to compare feature A and feature B on retention: define hypotheses, compute sample sizes, run A/B significance tests with confidence intervals, and produce a methods note and results table for the experimental review by Friday EOD.
The tools that do the workIBM SPSS Statisticsjob descriptionsO*NET
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Learning2
Collect data
+Pull raw transaction and user event tables for Q2 2026, join on user_id, filter out test accounts and…
Collect data
+Pull raw transaction and user event tables for Q2 2026, join on user_id, filter out test accounts and negative amounts, then deliver a single cleaned CSV with data dictionary and row counts by source by Friday noon for the analytics team.
The tools that do the workApache SparkESCOjob descriptionsWikipedia
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Collect and organize data for analysis
+Gather customer support logs, purchase records, and app telemetry for March–May 2026, standardise timestamps,…
Collect and organize data for analysis
+Gather customer support logs, purchase records, and app telemetry for March–May 2026, standardise timestamps, dedupe by user_id and event_id, tag missing fields, and output a normalized dataset with source provenance for the data science team on Monday morning.
The tools that do the workMicrosoft Accessjob descriptionsO*NETWikipedia
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The daily work14
Identify statistical patterns
+Run exploratory statistical scans on the customer_events table for the last two years, flag recurring weekly…
Identify statistical patterns
+Run exploratory statistical scans on the customer_events table for the last two years, flag recurring weekly and monthly patterns, quantify effect sizes and confidence intervals for each pattern, and deliver a ranked list of actionable anomalies with SQL snippets and sample rows.
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Gather data
+Assemble transaction, customer profile, and device logs from the past 24 months, deduplicate and normalise…
Gather data
+Assemble transaction, customer profile, and device logs from the past 24 months, deduplicate and normalise keys, validate schema and completeness, and hand over a single cleaned table ready for analysis with row counts and data-quality issues documented.
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Assess reliability of source information
+Assess the reliability of the quarterly sales source by profiling its origin, timestamp patterns,…
Assess reliability of source information
+Assess the reliability of the quarterly sales source by profiling its origin, timestamp patterns, missing-value rates, and any schema changes over the past two years, flagging records with conflicting IDs for manual review by Friday.
The tools that do the workIBM DB2job descriptionsO*NET
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Evaluate and describe data utility
+Evaluate the utility of the customer dataset for churn modelling: report field completeness, predictive…
Evaluate and describe data utility
+Evaluate the utility of the customer dataset for churn modelling: report field completeness, predictive signal per feature, correlation with churn, and recommended transformation or enrichment before handoff to analytics by Wednesday.
The tools that do the workMicrosoft Exceljob descriptionsWikipedia
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Use software like R, Python, SAS, SQL
+Prepare the cleaned extract of order and customer tables, include sample code showing how to join, aggregate…
Use software like R, Python, SAS, SQL
+Prepare the cleaned extract of order and customer tables, include sample code showing how to join, aggregate and export the dataset for analysis in R or Python, and attach a validation checklist demonstrating row-level counts match the source.
The tools that do the workApache Sparkjob descriptionsWikipedia
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Build models and perform hypothesis testing
+Build the sales forecasting model and run hypothesis tests on price sensitivity: specify assumptions, fit…
Build models and perform hypothesis testing
+Build the sales forecasting model and run hypothesis tests on price sensitivity: specify assumptions, fit candidate models with diagnostics, report p-values and effect sizes, and recommend whether to accept the price elasticity hypothesis.
The tools that do the workIBM SPSS Statisticsjob descriptions
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Liaise with management to define data needs
+Meet with Sarah in Product and Jonah in Finance, confirm the KPIs they need, draft a prioritized list of…
Liaise with management to define data needs
+Meet with Sarah in Product and Jonah in Finance, confirm the KPIs they need, draft a prioritized list of tables and refresh cadence, then circulate the summary and ask for sign-off by next Tuesday.
The tools that do the workMicrosoft Officejob descriptions
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Create charts
+Create a set of charts showing monthly revenue by region, customer cohort retention curves, and top SKU…
Create charts
+Create a set of charts showing monthly revenue by region, customer cohort retention curves, and top SKU contribution, export them as printable PNGs and attach a one-page captioned summary for the commercial review on Monday.
The tools that do the workMicrosoft ExcelESCO
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Process data
+Cleanse the sales and transaction tables for January through June, deduplicate by invoice and customer ID,…
Process data
+Cleanse the sales and transaction tables for January through June, deduplicate by invoice and customer ID, normalise date and currency fields, then produce a validated, exportable dataset ready for aggregations and joins by Friday noon.
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Think analytically
+Review the customer churn indicators, run correlation checks between tenure, support tickets and monthly…
Think analytically
+Review the customer churn indicators, run correlation checks between tenure, support tickets and monthly spend, flag unexpected relationships and write a one-page interpretation of likely drivers for the product manager.
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Perform data analysis
+Calculate weekly active user counts, cohort retention at 7, 30 and 90 days, and produce a table of spend per…
Perform data analysis
+Calculate weekly active user counts, cohort retention at 7, 30 and 90 days, and produce a table of spend per active user by cohort with confidence intervals for the analytics team meeting Tuesday.
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Apply statistical analysis techniques
+Run hypothesis tests comparing average order value across the three pricing tiers, adjust for unequal…
Apply statistical analysis techniques
+Run hypothesis tests comparing average order value across the three pricing tiers, adjust for unequal variances, report p-values, effect sizes and a plain-English conclusion for the pricing lead.
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Apply scientific methods
+Design an A/B experiment to test the new checkout flow: specify randomisation unit, sample size for 80…
Apply scientific methods
+Design an A/B experiment to test the new checkout flow: specify randomisation unit, sample size for 80 percent power, primary metric, data collection plan and stopping rules, then save the protocol for review.
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Write work-related reports
+Draft the monthly data quality report: summarise missingness, trend of key metric drift, incidents closed,…
Write work-related reports
+Draft the monthly data quality report: summarise missingness, trend of key metric drift, incidents closed, and three recommended fixes with estimated impact and owner, then circulate to ops and product.
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Says who?
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Same family of work — each with its own tasks and prompts.
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Built on public evidence: O*NET®, ESCO, Wikipedia, U.S. Bureau of Labor Statistics, ILOSTAT. All sources & licenses
Built on public evidence: O*NET®, ESCO, Wikipedia, U.S. Bureau of Labor Statistics, ILOSTAT. All sources & licenses