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Data and analytics teams

Explaining the work is half the job.

Data careers are entered from dozens of directions and understood by almost nobody outside them. Mentoring helps people get in, and gives your analysts practice at the thing they are most often marked down on: explaining it.

Session length
30 minutes
Cost to the mentee
Free
Reporting
Live
The benefits

What data and analytics gets out of it.

Communication practice with a stranger

If a mentee understands the answer, a stakeholder will too.

A view of the incoming skill base

Mentors hear which tools and courses people are actually using.

Promotion evidence

Influence beyond the team, recorded as hours.

A short, contained commitment

30 minutes, booked when it suits.

What mentees ask

The questions that come up.

  • Getting a first analyst role

  • Moving from analytics into data science or engineering

  • Whether a master's is worth the money

  • Working with stakeholders who want a different answer

  • Building a portfolio that gets read

What your people can teach

Subjects only data and analytics can cover.

What a data career really involves

Analyst, engineer, scientist: the day to day differences, in plain terms.

How your team uses AI and models

What you build, what you buy and how you check whether the output is any good.

Reading data without being fooled by it

Averages, samples and the traps that make a chart lie.

Building a first data portfolio

One good project beats ten courses, and here is what a good one looks like.

How it runs

Four steps, no programme to build.

  1. 01

    Choose the programme

    Give across the data function.

  2. 02

    Send the invitation

    Branded, ready to go.

  3. 03

    Analysts take sessions

    Self-serve, 30 minutes.

  4. 04

    Report the impact

    Hours and topics counted live.

Programmes

Three ways to fund it.

Give

Open mentoring across your workforce, funded as an ongoing commitment.

Grow

One cause, one target, one deadline, for a focused internal push.

Redirect

Offer a session to candidates you turn down, so a rejection still helps.

Questions

The things people ask first.

Do mentors need to be senior?

No. Two years ahead of the mentee is enough to be useful.

Is there preparation?

Five minutes to read the question.

Can we run this alongside internal mentoring?

Yes, and the two rarely overlap.

Ready to put this in front of your data and analytics team?

Tell us the size of the team and what you want out of it, and we will come back with a price and a launch date.