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Global People Analytics Senior Analyst

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Join as a Global People Analytics Senior Analyst at Boston Consulting Group (BCG) in Delhi, India. Play a crucial role in leveraging data science and analytics to support global HR recruiting teams. Enhance decision-making with statistical inferences and data-driven insights. Design predictive models and collaborate with teams to optimize talent acquisition processes.

Job description 

As a Global People Analytics Senior Analyst, you’ll support evidenced-based decision making. You’ll provide dats science & analytical inputs to support the global HR recruiting teams and work with stakeholders across BCG. You’ll add a data science & quantitative perspective to discussions on new and existing processes and policies. You will apply Data Science and analytics mindset and empower recruiters and the recruiting leadership teams with Statistical Inferences and leadership teams with data-driven insights, facilitating informed decision-making and strategic planning. Apply statistical modeling and analytical methodologies to solve recruitment challenges, enhancing efficiency and effectiveness in talent acquisition.

Responsibilities:

Play an integral role in the AI product development lifecycle, from system design to model validation and scaling.

Design and build predictive models, classifiers, and recommendation systems to enhance business performance.

Stay updated on the latest advancements in data science, machine learning, AI technologies, and visualization tools to enhance methodologies.

Ensure data quality and integrity throughout all processes.

Generate insights from complex datasets and communicate findings to enhance business decision-making.

Collaborate with teams across the organization to meet data requirements and project objectives.

Communicate complex findings and technical concepts to non-technical stakeholders through visualizations, presentations, and reports.

Participate in the development of data science best practices, standards, and guidelines within the organization.

Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements

Perform code reviews & optimization for your projects and team

Lead and mentor by example, including projects


YOU'RE GOOD AT

​Communicating complex technical concepts to non-technical stakeholders effectively

Multi-tasking and operating effectively in a fast-paced, client-oriented environment

Problem-solving and analytical thinking, with a strong attention to detail

Working collaboratively in a matrix organization, managing multiple stakeholders

Strong interpersonal skills, who showcases credibility and excels in a collaborative setting


YOU BRING (EXPERIENCE & QUALIFICATIONS)

  • Undergraduate degree, preferably in an engineering or other technology-related fields, with high academic achievement required; advanced degree preferred

3-5 years of full-time experience in data science, statistical modeling, machine learning, NLP & data visualization and interactive dashboard creation, particularly with Tableau

Data extraction and manipulation using SQL

Applying statistical, machine learning, and data mining techniques in real-world scenarios

Deep interest and aptitude in data, metrics and analysis

Exposure to some of the following technologies is needed – Flask, Azure Data Bricks, GitHub, Snowflake would be added an advantage

Expertise in Tableau, SQL, Python, and other relevant data science tools and languages.

Strong programming skills in languages such as Python or R, with experience in data manipulation, analysis, and modeling libraries (e.g., Pandas, NumPy, scikit-learn, streamlit etc.).

A solid foundation in statistics, machine learning principles, and their practical application.

Experience with AI solutions, including model scaling and deployment.

Solid exposure to BERT , Large Language Model & other NLP models

Solid understanding of statistical concepts and methodologies, including regression, classification, clustering, time series analysis, and experimental design


YOU'LL WORK WITH

You will work with multiple stakeholders.

Work closely with the global recruitment leadership to understand pain points and opportunity areas

Work with global recruiting and analytics teams to find synergies and expand reporting capabilities across BCG recruitment teams

Collaborate with colleagues across other HR and analytics teams to enhance the current reporting infrastructure for recruiting

Set alert for similar jobsGlobal People Analytics Senior Analyst role in Delhi, India
Boston Consulting Group (BCG) Logo

Company

Boston Consulting Group (BCG)

Job Posted

6 months ago

Job Type

Full-time

WorkMode

On-site

Experience Level

3-7 Years

Category

Software Engineering

Locations

Delhi, Delhi, India

Qualification

Bachelor or Master

Applicants

Be an early applicant

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Boston Consulting Group (BCG) Logo

Global People Analytics Senior Analyst

Boston Consulting Group (BCG)

New Delhi, Delhi, India

Posted: a year ago

WHAT YOU'LL DO This role is part of the Globle People Analytics team with a dedicated focus to support and drive the recruiting analytics agenda for BCG. As a Global People Analytics Senior Analyst, you’ll support evidenced-based decision making. You’ll provide dats science & analytical inputs to support the global HR recruiting teams and work with stakeholders across BCG. You’ll add a data science & quantitative perspective to discussions on new and existing processes and policies. You will apply Data Science and analytics mindset and empower recruiters and the recruiting leadership teams with Statistical Inferences through Tableau dashboards, and presentations to help improve processes and solve recruiting related challenges.   YOU'RE GOOD AT Developing and implementing advanced statistical models, pipelines, and machine learning algorithms to solve business problems and optimize processes. Designing, developing, and maintaining Tableau dashboards and reports. Creating data models, data visualizations, and interactive dashboards using Tableau Troubleshooting and resolving issues related to Tableau dashboards and data sources. Designing and building predictive models, classifiers, and recommendation systems to enhance business performance. Extracting and transforming data from various sources, ensuring data quality and integrity throughout the process. Collaborating with cross-functional teams to identify data requirements and define project objectives. Staying updated with the latest advancements in tableau, alteryx, data science, machine learning, and AI technologies, and apply them to improve existing methodologies and processes. Playing a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies & Run necessary ML tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Generating insights from large and complex datasets, and understanding the nuances and inconsistencies in data Ability to multi-task and operate effectively in a fast-paced and customer-oriented environment; ability to manage multiple stakeholders in a matrix organization Communicating and presenting technical details to non-technical stakeholders Strong interpersonal skills, who showcases credibility and excels in a collaborative setting   YOU BRING (EXPERIENCE & QUALIFICATIONS) Undergraduate degree, preferably in an engineering or other technology-related fields, with high academic achievement required; advanced degree preferred  3-5/ 5+ years of full-time experience in experience in data science, statisticalodeling, and machine learning & NLP Strong proficiency in Tableau Desktop,Tableau Server Experience in Strong proficiency in Tableau Desktop and Tableau Server. Experience in data visualization, data modeling, and dashboard design principles. Expertise in Python, Natural Language Processing, Data science & Machine Learning, Statistics, Linear Algebra, Excel Hands-on experience of data manipulation tools such as Alteryx, SQL, Tableau Prep. Etc. Deep interest and aptitude in data, metrics and analysis Exposure to some of the following technologies is needed – Flask, Azure Data Bricks, GitHub, Snowflake would be added an advantage   YOU'LL WORK WITH You will work with multiple stakeholders. Work closely with the global recruitment leadership to understand pain points and opportunity areas Work with global recruiting and analytics teams to find synergies and expand reporting capabilities across BCG recruitment teams Collaborate with colleagues across other HR and analytics teams to enhance the current reporting infrastructure for recruiting   ADDITIONAL INFORMATION Requirements Strong programming skills in languages such as Python or R, with experience in data manipulation, analysis, and modeling libraries (e.g., Pandas, NumPy, scikit-learn). Strong proficiency in Tableau Desktop and Tableau Server. Experience in data visualization, data modeling, and dashboard design principles. Solid exposure to BERT , Large Language Model & other NLP models Solid understanding of statistical concepts and methodologies, including regression, classification, clustering, time series analysis, and experimental design. Experience with data visualization tools such as Tableau, Power BI, or matplotlib. Proficient in using SQL and working with relational databases. Excellent knowledge of ML & Deep Learning domain Open to learning new technologies and programming languages as required Experience collaborating with and understanding the needs of stakeholders from a variety of business functions: Product, Engineering and Technical Operations Excellent communication skills, both written and verbal, with the ability to effectively convey technical concepts to non-technical stakeholders. Strong attention to detail, ability to handle and analyze large datasets, and a commitment to delivering high-quality results within deadlines. Responsibilities Develop and implement advanced statistical models, pipelines, and machine learning algorithms to solve business problems and optimize processes. Develop and maintain dashboards using Tableau and Alteryx/Tableau Prep/SQL Collaborate with cross-functional teams to identify data requirements and define project objectives. Design and build predictive models, classifiers, and recommendation systems to enhance business performance. Extract and transform data from various sources, ensuring data quality and integrity throughout the process. Communicate complex findings and technical concepts to non-technical stakeholders through visualizations, presentations, and reports. Stay updated with the latest advancements in data science, machine learning, and AI technologies, and apply them to improve existing methodologies and processes. Participate in the development of data science best practices, standards, and guidelines within the organization. Play a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies Research & Implement ML and Deep learning algorithms for production Run necessary ML tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Extend existing ML library’s and write packages for reproducing components Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Interpret results and present them to business leaders Perform code reviews & optimization for your projects and team Lead and mentor by example, including projects