Hire a part time data analyst

Questions a data analyst answers for a small company

A data analyst turns raw records into answers a manager can act on. The job begins with a question, such as which customers are likely to cancel, which channel brings the best buyers, or why revenue dipped in March. The analyst finds the data, cleans it, runs the analysis, and presents the result in plain language.

For a company without a data team, a part time analyst usually does three things. First, they build a small set of trusted numbers, such as revenue, active customers, conversion, and retention, so everyone argues about decisions instead of definitions. Second, they create dashboards that update without manual work. Third, they run one-off studies when a big choice is coming.

The role differs from a data engineer, who builds the pipes that move data, and from a data scientist, who builds predictive models. Many senior analysts do some of both, but if your main need is pipelines, look at the part time developers page for Python and data engineering profiles.

Signs your reporting has outgrown spreadsheets

Spreadsheets are fine until they are not. These signals suggest you have reached the limit.

• Two people give two different numbers for the same metric.
• Month-end reporting takes someone a full day of copying and pasting.
• Nobody trusts the numbers enough to use them in a board update.
• Your product, billing, and marketing data live in separate tools that do not connect.
• A founder answers analytical questions from memory and instinct.

An analyst fixes the cause, not the symptom. They write down definitions, connect sources into one place, and automate the repetitive work. The payoff is time saved every month and better decisions about spending and hiring.

If the questions are mostly financial, such as forecasting cash and budgeting, a fractional controller or a fractional CFO may be closer to what you need. Many companies hire both.

The first month of an analytics engagement

The best way to start is with a narrow, valuable question and a written plan.

Week one. The analyst meets the people who use the numbers and lists the ten questions they ask most. Together you choose three to answer first. They request read-only access to the data sources and review how the data is stored.

Week two. A metric dictionary is drafted. Each metric has a name, a plain definition, a formula, and an owner. The analyst checks data quality, finding duplicates, missing values, and records that do not match.

Week three. The first dashboard is built around the three priority questions. It should be short. A dashboard with forty charts is a report nobody reads.

Week four. The analyst presents findings and recommended actions in a meeting, and leaves a short document that explains how to refresh and interpret the dashboard. You decide whether the next month moves to deeper analysis, such as customer segments or cohort retention.

Part time analyst, in-house hire, or reporting agency

Software shows what happened, but it cannot tell you which numbers to trust or why a number moved. A part time analyst adds that judgment. A full-time hire makes sense when you have constant analytical demand across several teams.

Handling sensitive data when the analyst is not on your payroll

Data work involves trust. Customer records, revenue figures, and employee information may all be in scope, so set clear rules before access begins.

Start with the principle of least access. Give the analyst read-only credentials to the specific databases and tools they need, not the whole system. Where possible, use a copy of the data with direct identifiers such as names and emails removed or masked. Ask the analyst to work inside your tools rather than downloading files to personal devices.

The contract on Side.work includes an NDA and IP assignment by default. Scale customers can attach their own NDA and IP template, which is useful if your legal team has strict wording for data handling. Agree in writing on where analysis files are stored and how they are deleted at the end.

If you hold regulated data, such as health or financial records, check the rules that apply to you and ask an attorney. A fractional general counsel can advise on data handling terms. Side.work is a marketplace and does not itself give legal advice.

Finally, review access when the engagement ends. Remove credentials on the last day and keep a log of who had access. Ask the analyst to hand over queries, notes, and dashboard settings in a shared folder you control, so the next person never starts from zero.

Monthly cost for an eight hour week

Consider a subscription business on the Growth plan that wants a senior analyst for eight hours a week to build its metric dictionary and a set of dashboards.

At $125 an hour, eight hours is $1,000 a week. Multiply by 4.33 and the approved hours are $4,330 a month. The Growth platform fee is 8 percent, which is $346.40. The monthly invoice is $4,676.40, plus the plan subscription.

Many setup projects take two to three months and then drop to a lighter retainer. At five hours a week and $95 an hour, the cost is $2,056.75 a month before the fee. At twenty hours a week and $160 an hour, it is $13,856 before the fee.

On the Scale plan the platform fee falls to 5 percent. At eight hours and $125 an hour that would be $216.50 instead of $346.40. Compare all plans on the pricing page.

What a good dashboard looks like and what to avoid

Dashboards are the visible product of an analyst, and many are poor. A good one is built around decisions, not around the data that happens to be available.

Start from the audience. A founder needs five or six headline numbers and a way to see whether they are moving in the right direction. A sales manager needs pipeline by stage and by rep. A support lead needs ticket volume and time to first reply. One dashboard per audience works better than one giant board for everyone.

Every chart should answer a question that is printed above it. Titles such as "Revenue by month" are acceptable, but "Is revenue growing faster than costs?" prompts action. Use simple chart types, label axes clearly, and show the period compared. Avoid decoration that makes numbers hard to read.

Include context. A number without a target or a prior period cannot be judged. Show last month or the same month last year beside the current value, and mark known events such as a price change or an outage that explain a jump.

Document the source. A small note on each chart should say where the data comes from, how often it refreshes, and who owns it. When two numbers disagree, the note tells you where to look first.

Finally, test the dashboard with real users. Ask someone who did not build it to find an answer and watch where they hesitate. Revise until a new team member can read it without a guide. A dashboard that nobody opens after a month has failed, no matter how clever its design.

Hiring an analyst through Side.work

Choose the data analyst role, enter the hours you need and your budget, and you receive a ranked shortlist with weekly availability bars, rates, and portfolio links. Profiles show a verified work email domain, a checked LinkedIn profile, live portfolio links, and verified payout identity.

Send intros to the analysts you like. After calls, choose one and sign a contract with a weekly hours cap, a notice period, and a default NDA and IP assignment. The analyst submits a weekly timesheet, you approve it, and you pay one invoice covering approved hours and the platform fee. The specialist keeps 100 percent of the agreed rate.

Details are on the how it works and security pages. To make sure your analytics work matches marketing goals, you may also want a part time marketer. Analysts who want this kind of engagement can browse fractional jobs.