Role:Data Analyst
Location: work from home/HYDERABAD
JOB DESCRIPTION:
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 Python, SQL and R programming 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 “Looker”
· Extract and report data using database queries with a preference for cloud experience, pipeline automation, and scalable analytics.
· 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.
Work Experience
What You’ve Done:
· Data Manipulation: Proficiency in using Python libraries like Pandas, NumPy, and SciPy to 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.
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Education Required:
- Bachelor’s degree in computer science, Information Technology, or related field
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.
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