Marketing Technology Ref XE-MKT-598 Closed

Analytics Intern, Summer 2026

Twelve weeks of measurement work on live client programmes: tagging plans, dashboards and one analysis of your own.

This role closed on 15 Jun 2026. It is no longer taking applications.

The page stays up so links to it keep working. See what is open now, or send a speculative application — someone in the practice reads those too.

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An open laptop on a glass table showing an analytics dashboard of charts and figures.
The practiceMarketing Technology
Practice
Marketing Technology
Location
Ludhiana
Work pattern
On-site
Level
Intern
Type
Internship
Experience
Student
Salary band
₹20,000 a month stipend Indicative
Openings
2
Posted
Closed

About the role

Our summer analytics internship. Applications for 2026 have closed; the next intake is announced here and on the careers page.

Interns joined a live measurement team, built dashboards that clients used, and presented one analysis of their own at the end of the summer.

What you will do

  1. Build and QA tagging plans
  2. Maintain client dashboards
  3. Run one analysis end to end and present it

A typical week

Where the hours go in an ordinary week, and which parts agents carry. Whatever an agent drafts or checks, a person decides what happens next.

Analytics Intern, Summer 2026 40 hours in a typical week
  • You22 h · 55%
  • You, with an agent drafting12 h · 30%
  • An agent runs it, you review6 h · 15%
  1. Tagging plans and QA

    An agent checks tags fire as planned; you fix what it flags, with your mentor.

    You, with an agent drafting12 h

  2. Your own analysis

    One question, answered end to end and presented at the end of the summer.

    You12 h

  3. Dashboard upkeep

    Monitors flag broken data; you trace and fix it.

    An agent runs it, you review6 h

  4. Mentor sessions

    Weekly, with a written plan.

    You6 h

  5. Team reviews

    Sitting in on the measurement team’s reviews.

    You4 h

An illustrative split, not a timesheet. The hiring lead walks you through the real one in your first conversation.

What you bring

  • A student in statistics, economics, computer science or similar
  • Comfort with SQL or Python
  • Clear writing about numbers

Tools you will use

Grouped by what they are for. Nobody knows all of them on day one.

Languages & runtimes
  • Python
Data, analytics & streaming
  • Google BigQuery
  • Looker
Search, SEO & analytics
  • Google Analytics

Technologies we work with and license — not partnerships.

Where you would work

The places this role can be based. Each team agrees its own studio days; remote roles meet in a studio for a team week each quarter.

  • Traffic at a busy junction in Dugri, Ludhiana, seen from a rooftop among trees.

    Studio

    Ludhiana

    Two floors on Ferozepur Road, opposite Hotel Park Plaza.

    Pictured: Ludhiana (Dugri)

How and where we work

What we offer

With every role

  • Health and family

    Medical insurance · Parental leave · Mental health

  • Time

    Paid leave · Winter break · Flexible days

  • Growth

    Learning budget · Growth reviews · Internal moves

  • Setup

    Your own machine · Home office · Team weeks

The full benefits schedule

Where this role sits

L1 of 6 · Intern

Owns a task. Learns the craft on real work, with a mentor.

Each level is defined by the scope you own, not years served. Growth reviews twice a year measure you against the six standards at your level.

Ways in, and ways up
  1. This role L1 Intern A task
  2. L2 Associate A deliverable
  3. L3 Mid A feature
  4. L4 Senior A workstream
  5. L5 Lead An engagement
  6. L6 Principal A practice

Next rung

L2 · Associate — A deliverable. Ships reliably with review.

How we hire for this role

5 steps, and a reply after every one.

The same five stages we use for every role. Timings are targets; when one slips, we tell you.

  1. Within 5 working days

    Step 1: Read

    A practitioner in the practice reads your application — your links first, your CV second. No keyword filter, no agency.

  2. Week 1 · 45 min

    Step 2: Conversation

    The hiring lead: the role, your work, and the level and salary band — before you invest more time in us.

  3. Week 2 · 2–3 h, paid

    Step 3: Work sample

    A short exercise close to the job, or a deep review of work you have already done. Paid, and never unpaid spec work.

  4. Week 3 · half a day

    Step 4: Team day

    Meet the people you would work with, in a studio or on video. Ask them anything; they will answer honestly.

  5. Week 3–4

    Step 5: Offer

    In writing, with the level, the salary, the full benefits and a start date that suits you. No exploding deadlines.

What helps an application

  • A link to work you made, with your own part in it named.
  • One project you could talk through for half an hour.
  • If you used AI, a line on how you checked what it produced.
  • Plain words. We read for substance, not polish.

Adjustments. Extra time, questions in advance, captions, a different format — tell us on the form or by email. Asking never counts against you.

Your move

Not the right role yet? Tell us what you would build here.

A speculative application gets the same read as any other: a practitioner in the practice you choose, and a reply either way.