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Open nowFirst seen 45 hours ago

Data Analyst (Mid/Snr)

ADI Group851 open roles

Where
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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Your applicationOpen nowData Analyst (Mid/Snr)ADI Group · Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

  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 ADI Group'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.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 45 hours ago

The posting

Key Responsibilities:

  • Collect, clean, and interpret data from various sources to identify trends, patterns, and actionable insights.
  • Perform exploratory data analysis (EDA) to uncover key findings.
  • Develop and maintain dashboards, reports, and visualizations using primarily Tableau.
  • Collaborate with cross-functional teams to define business problems and data requirements.
  • Conduct detailed data analysis to support decision-making processes in areas such as marketing, operations, or customer experience.
  • Assist in maintaining databases and data systems.
  • Ensure data accuracy, integrity, and security, applying best practices in data management and governance.
  • Present complex information and analysis in clear, concise presentations or reports for stakeholders.
  • Identify and implement process improvements and automation for data workflows.

Qualifications:

  • Bachelors degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
  • Proven experience as a Data Analyst or in a similar analytical role (Fresh graduates are encouraged to apply).
  • Proficiency with data analysis tools and languages (e.g., SQL, Python, R).
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Familiarity with database management, ETL (Extract, Transform, Load) processes, and data warehousing.
  • Excellent analytical and problem-solving skills.
  • Ability to communicate technical findings to non-technical audiences.
  • Strong attention to detail and organizational skills.

Preferred Skills:

  • Knowledge of statistical techniques (regression, clustering, hypothesis testing).
  • Knowledge about C# fundamental.
  • Familiarity with machine learning algorithms and tools.
  • Knowledge of data governance and compliance standards.
  • Strong Excel skills, including advanced functions and pivot tables.
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  1. A CV for this posting

    Written against ADI Group's own wording, from every piece of relevant proof in your profile.

  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 ADI Group'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

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

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • 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

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