Data Analyst

Phenom Introduction:

Our purpose is to help a billion people find the right work! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal!

Core Description Parameters:

We are seeking a highly skilled and motivated Data Analyst to join our AI & Ethics Team. In this role, you will work directly with our Data Science, Product and Engineering teams to analyze and improve our Phenomenal products for our Phenomenal clients.

Have you ever collected your own dataset because you were so curious about some problem? Do you have experience asking “why” and “how” to get to the heart of a dataset? Have you ever helped an executive make a million dollar decision? Would you like to?

What You’ll Do

• Use SQL to analyze, hypothesize, and solve complex business challenges, as well as to identify and visualize novel opportunities for growth.
• Should be willing to work on BI tools like “Looker" and "Superset"
• Perform data cleaning, transformation and validation using Excel, Python or R tools
• Partner with stakeholders to define key metrics and deliver insights on performance
• Design and execute A/B tests and evaluate their outcomes statistically
• Communicate Findings clearly through visualizations and presentations to technical and non-technical audiences
• Extract and report data using database queries with a preference for cloud experience, pipeline automation, and scalable analytics.
• Ensure data integrity and accuracy by adhering to best practices in data governance and documentation
• Use statistical modeling and prediction techniques to drive actionable insights.
• Demonstrate curiosity and a problem-solving, research mindset.
• Work independently with minimal supervision and communicate your findings to technical and non-technical audiences.

What You’ve Done:

• Data Manipulation: Efficiently manipulate and analyze large datasets. Strong experience in extracting and reporting data using complex queries.
• Statistical Analysis: Proficiency with statistical concepts and techniques, including exploratory data analysis, hypothesis testing, confidence intervals, and experiment design. Proficiency in using statistical methods to derive meaningful conclusions from data.
• Data Visualization: Proficiency in using visualization libraries like Matplotlib or Seaborn to create clear, concise, and intuitive visualizations that communicate complex data insights to stakeholders.
• Model Evaluation and Validation: Proficiency in assessing model performance using metrics such as accuracy, precision, recall, F1 score, and area under the curve (AUC). Proficiency in techniques like cross-validation, train-test splits, and hyperparameter tuning to ensure robust model performance.
• Communication: Strong written, verbal, and visual communication skills.

Desired/Good To Have Skills:

• Cloud platforms: Familiarity with cloud platforms for data analysis and orchestration like Snowflake, AWS Sagemaker, AWS Lambda, Airflow, Jenkins, Postman
• Machine Learning: Proficiency with fundamental machine learning algorithms such as linear regression, logistic regression, decision trees, random forests, and neural networks. Ability to use ML and statistical modeling to solve business problems.
• Feature Selection and Dimensionality Reduction: Familiarity with techniques like feature selection, feature engineering, regularization, and dimensionality reduction (e.g., PCA) to improve model efficiency, reduce overfitting, and enhance interpretability.
• Model Deployment: Experience in deploying machine learning models in production environments, utilizing frameworks like Flask or Django. Understanding of model serving, API development, and cloud deployment to enable real-time predictions.
• Dashboarding: Familiarity with BI and dashboarding software such as Superset, Looker and Tableau.
• Candidates with experience in the credit card, banking, or healthcare domains and/or strong mathematical and statistical backgrounds will be preferred.

Education and Qualifications:

• Bachelor’s degree in computer science, Information Technology, or related field

Experience:

• Looking for "4+ years" of experience as a Data Analyst
• Should be proficient in writing complex SQL queries
• Preferably looking for someone from Hyderabad

Benefits:

• We want you to be your best self and to pursue your passions!
• Health and wellness benefits/programs to support holistic employee health
• Flexible hours and working schedules, as well as parental leave for new parents
• Growing organization with career pathing and development opportunities
• Tons of perks and extras in every location for all Phenoms!

Diversity, Equity, & Inclusion:

Our commitment to diversity runs deep! Diversity is essential to building phenomenal teams, products, and customer experiences. Phenom is proud to be an equal opportunity employer taking collective action to build a more inclusive environment where every candidate and employee feels welcomed. We recognize there is more to be done. Our teams are committed to continuous improvement until these powerful ideas are ingrained in our culture for Phenom and employers everywhere!

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