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 to applications on 15 Jun 2026.

This page stays up so links to it keep working. See the open roles, or send a speculative application; 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 will be announced here and on the careers page.

Interns join the measurement team on live client work, build dashboards and present 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 from question to presentation

A typical week

How the hours split in a typical week. Agents draft and check some tasks; you decide 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 of your own, answered 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. In your first conversation, the hiring lead talks you through how the week runs.

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 purpose. Nobody knows all of them on day one.

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

Tools we work with and license. No partnership is implied.

Where you would work

Where this role can be based. Each team agrees its own office days; remote roles join a team week in an office each quarter.

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

    Office

    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 client 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.

See career paths
  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 level

L2 · Associate — A deliverable. Delivers reliably, with review.

How we hire

5 steps, and a reply after every one.

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

  1. Within 5 working days

    Step 1: Read

    Someone from the practice reads your application, links first and CV second, with no keyword filter or recruitment agency.

  2. Week 1 · 45 min

    Step 2: Conversation

    The hiring lead talks through the role and your work, and states the level and salary band before you invest more time.

  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 either way.

  4. Week 3 · half a day

    Step 4: Team day

    Meet the people you would work with, in an office or on video, and ask them anything.

  5. Week 3–4

    Step 5: Offer

    A written offer with the level, salary, full benefits and a start date that suits you, and time to decide.

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 are fine. We read for substance.

Adjustments. Need extra time, questions in advance, captions or another format? Tell us on the form or by email. Asking never counts against you.

Next step

If no role fits, tell us what you would build.

Someone in the practice you choose reads your application like any other and replies either way.