Planet Pharma
Data Analyst I Job at Planet Pharma in South San Francisco
Planet Pharma, South San Francisco, CA, US, 94083
Job Description
The Opportunity:
Our Digital Strategy & Products (DS&P) team is looking for a curious and motivated Entry-level Data Analyst to join us. This is a fantastic opportunity for someone early in their career who loves to learn, solve puzzles with data, and grow their technical skills. You will work with diverse datasets to uncover insights that help our teams make smarter decisions. We're looking for someone who can quickly learn new concepts and is eager to make an impact.
Responsibilities
The responsibilities for this position may include, but are not limited to:
1. Data Quality
? Help ensure data accuracy, completeness, and consistency across different systems.
? Uphold data governance standards, ensuring that access to potentially sensitive information is appropriately managed.
2. Data Analysis & Modeling
? Analyze diverse data sources-including survey, sensor, and attendance metrics-to identify trends, patterns, and insights.
? Perform Exploratory Data Analysis (EDA) and feature engineering to prepare complex datasets for deeper analysis.
? Contribute to the design, implementation, and validation of predictive models using machine learning and statistical techniques (e.g., regression, classification).
? Write basic to intermediate SQL queries to extract and manipulate data from relational databases.
? Learn and apply new analytical methods to enhance model performance and generate actionable insights.
? Utilize Git/GitHub for code version control and collaborative development with team members.
3. Reporting & Communication
? Generate reports and visualizations to communicate data insights to stakeholders in a clear and compelling way.
? Assist in building, maintaining, and sharing dashboards and reports using tools like Tableau, R Shiny, ThoughtSpot, and/or G Suite.
? Present findings and insights to client and internal audiences.
Core Qualifications:
? Bachelor's degree in Statistics, Computer Science, Data Science, Psychology, or another field with a focus on analytics and measurement, OR 1+ years of professional experience in an analytical role as a primary function of your position.
? A motivated self-starter with a strong desire to learn and the ability to work proactively with guidance.
? Strong organizational skills and a keen eye for detail.
? Proficiency with Microsoft Office and Google Suite.
? Clear and effective communication (written/verbal) and presentation skills.
? A foundational understanding of analytics and data quality principles.
Preferred Qualifications:
? Advanced degree in a quantitative or related field.
? Proven experience in research and deep analysis of data sets for insights.
? Programming skills in a language like R or Python for data analysis.
? Experience creating dashboards or visualizations with tools like Tableau and/or
ThoughtSpot.
? Academic or project-based experience applying core Machine Learning algorithms (e.g., Linear Regression, Logistic Regression, Decision Trees) using libraries like scikit-learn.
? Familiarity with cloud computing environments (e.g., AWS, Azure, GCP) or querying with SQL.
? Knowledge of architecture and building standards is a plus, but not required.
Pay rnages btween $25-35/hr based on experience
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert: Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.
The Opportunity:
Our Digital Strategy & Products (DS&P) team is looking for a curious and motivated Entry-level Data Analyst to join us. This is a fantastic opportunity for someone early in their career who loves to learn, solve puzzles with data, and grow their technical skills. You will work with diverse datasets to uncover insights that help our teams make smarter decisions. We're looking for someone who can quickly learn new concepts and is eager to make an impact.
Responsibilities
The responsibilities for this position may include, but are not limited to:
1. Data Quality
? Help ensure data accuracy, completeness, and consistency across different systems.
? Uphold data governance standards, ensuring that access to potentially sensitive information is appropriately managed.
2. Data Analysis & Modeling
? Analyze diverse data sources-including survey, sensor, and attendance metrics-to identify trends, patterns, and insights.
? Perform Exploratory Data Analysis (EDA) and feature engineering to prepare complex datasets for deeper analysis.
? Contribute to the design, implementation, and validation of predictive models using machine learning and statistical techniques (e.g., regression, classification).
? Write basic to intermediate SQL queries to extract and manipulate data from relational databases.
? Learn and apply new analytical methods to enhance model performance and generate actionable insights.
? Utilize Git/GitHub for code version control and collaborative development with team members.
3. Reporting & Communication
? Generate reports and visualizations to communicate data insights to stakeholders in a clear and compelling way.
? Assist in building, maintaining, and sharing dashboards and reports using tools like Tableau, R Shiny, ThoughtSpot, and/or G Suite.
? Present findings and insights to client and internal audiences.
Core Qualifications:
? Bachelor's degree in Statistics, Computer Science, Data Science, Psychology, or another field with a focus on analytics and measurement, OR 1+ years of professional experience in an analytical role as a primary function of your position.
? A motivated self-starter with a strong desire to learn and the ability to work proactively with guidance.
? Strong organizational skills and a keen eye for detail.
? Proficiency with Microsoft Office and Google Suite.
? Clear and effective communication (written/verbal) and presentation skills.
? A foundational understanding of analytics and data quality principles.
Preferred Qualifications:
? Advanced degree in a quantitative or related field.
? Proven experience in research and deep analysis of data sets for insights.
? Programming skills in a language like R or Python for data analysis.
? Experience creating dashboards or visualizations with tools like Tableau and/or
ThoughtSpot.
? Academic or project-based experience applying core Machine Learning algorithms (e.g., Linear Regression, Logistic Regression, Decision Trees) using libraries like scikit-learn.
? Familiarity with cloud computing environments (e.g., AWS, Azure, GCP) or querying with SQL.
? Knowledge of architecture and building standards is a plus, but not required.
Pay rnages btween $25-35/hr based on experience
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert: Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.