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Open nowPosted today

Manager

EXL2,299 open roles

Where
Uttar Pradesh, India
Work mode
Hybrid
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Your applicationOpen nowManagerEXL · Uttar Pradesh, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EXL's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. EXL postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted today

EXL median: 20 days open

The posting

Job Description

Manage data integration projects and ensure alignment with business goals. Ensure adherence to data integration policies and procedures. Provide strategic guidance on data integration practices. Lead a team of data integration engineers.

Responsibilities

Essential Job Functions

  • Develop complex, optimized SQL queries across large-scale data environments and build reusable analytical datasets, and scalable data models and pipelines for downstream BI reporting
  • Perform segmentation, campaign performance analysis, lifecycle analysis, churn/retention analysis, and attribution modeling using proprietary and client datasets
  • Participate in client discovery sessions to understand business challenges, KPIs, and strategic objectives and help translate ambiguous business problems into structured analytical frameworks
  • Collaborate with internal stakeholders based in the US/Canada to help support preparation and interpretation of analytics outputs by ensuring rigorous data validation prior to client delivery
  • Partner with internal analytics leadership to develop detailed man-hour estimates and timelines
  • Identify risks, dependencies, and technical constraints before project kickoff and contribute meaningfully to internal planning and feasibility discussions

Qualifications

At least 8–10 years in Client Analytics, Marketing Analytics, Product Analytics, or related roles with a proven track record of supporting clients based in US/Canada (Ideally Fortune 500 or global enterprise clients)

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  1. A CV for this posting

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on EXL's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    EXL's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

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  5. Reply with AI

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  6. The interview in your calendar

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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

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With CV Rocket100
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Before you press

Straight answers

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

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