People Analytics and Measurement Data Analyst at McKinsey Company
Lisboa, Área Metropolitana de Lisboa, Portugal -
Full Time


Start Date

Immediate

Expiry Date

08 Jun, 25

Salary

0.0

Posted On

09 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Econometrics, R, Version Control Tools, Trello, Computer Science, Jira, Agile, Analytics, Software Development Methodologies, It, Sql, Data Analytics, Matplotlib, Exploratory Data Analysis, Tableau, Software, Git, Snowflake, Alteryx, Python, Microsoft Excel, Sql Server, Oracle

Industry

Information Technology/IT

Description

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

YOUR QUALIFICATIONS AND SKILLS

  • Bachelor’s or graduate degree with focus or specialization in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or similar field
  • 1+ years of relevant professional experience in analytics demonstrating success as an individual contributor within a broader team
  • Solid analytical and data management skills
  • Ability to plan, prioritize and manage multiple projects, and to work effectively under pressure and with shifting priorities
  • Flexibility in working style, eager to collaborate with a team (often virtually) and to engage in independent work, based on project and other circumstances
  • Ability to understand and communicate the meaning of analyses with individuals in a wide range of strategic and operational roles, in both written and oral form
  • Technical and analytic experience including experience with analytical tools and software such as R (preferred), Python, Tableau, Alteryx, or other programming experience
  • Proficiency in SQL, including experience retrieving data from relational databases
  • Exploratory data analysis to understand the characteristics of a data set and identify patterns
  • Advanced skills with Microsoft Excel, including manipulating large datasets
  • Intuitive understanding of what the analysis implies and how it would be affected by changes in assumptions
  • Comfort with dealing with ambiguity, making assumptions, and drawing conclusions
  • Substantial technical experience working with real-world data, including extracting it from production databases like Oracle, SQL Server, Snowflake and cleaning it to create analytically tractable data sets
  • Familiarity with software development methodologies like Agile, including issue/workflow tracking tools like Jira and Trello and version control tools like git and GitHub
  • Familiarity with visualizing data using ggplot2, matplotlib, d3.js, Tableau, or similar software
Responsibilities

Please refer the Job description for details

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