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    Data Analyst - San Francisco, United States - Django Rest Framework

    Django Rest Framework
    Django Rest Framework San Francisco, United States

    1 week ago

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    Description
    People Data Labs is hiring a
    Remote Data Analyst

    About Us
    At People Data Labs, we're committed to democratizing access to high-quality B2B data and leading the emerging DaaS economy.

    We empower developers, engineers, and data scientists to create innovative, compliant data products at scale with our clean, easy-to-use datasets of resume, company, location, and education data consumed through our suite of APIs.

    PDL is an innovative, fast-growing, global team backed by world-class investors, including Craft Ventures, Flex Capital, and Founders Fund.

    We scour the world for people hungry to improve, curious about how things work, and willing to challenge the status quo to build something new and better.

    Analyzing data using statistical techniques and tools to identify anomalous data, clean data, and derive meaningful insights and trends.
    Ensuring data integrity, accuracy, and completeness throughout the analysis process.
    Generate, maintain, and update dashboard reports using our business intelligence tool, highlighting key findings and trends.
    Develop and maintain databases, data systems, and data analytics pipelines within database management systems.

    Work with stakeholders in Engineering, Product, and Revenue to assist with data-related technical issues and support their data infrastructure and analytics needs.

    Ensure the integrity and consistency of database schemas, including managing updates, version control, and documenting schema changes to support data analysis and reporting requirements.

    Responsible for assistance and further development of our quality assurance process.
    Technical Requirements
    3-5+ years industry experience with clear examples of strategic and analytical technical problem solving and implementation
    Strong software development and analytics fundamentals
    Expertise in with SQL & Python
    Experience with Apache Spark or PySpark
    Experience with data cleaning and data processing (e.g., cleaning, transformation) using SQL and Python.
    Knowledge of modern data design and storage patterns (e.g., incremental updating, partitioning and segmentation, rebuilds and backfills)
    Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.)
    Experience with cloud computing services (AWS (preferred), GCP, Azure or similar)
    Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar)
    Understanding of modern data storage formats and tools (e.g., parquet, ORC, Avro, Delta Lake)
    Professional Requirements
    Must thrive in a fast paced environment and be able to work independently
    Can work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities)
    Strong written communication skills on Slack/Chat and in documents
    You are experienced in writing data design docs (pipeline design, dataflow, schema design)
    You can scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders
    Experience collaborating with Product and Engineering teams

    Nice To Haves:
    Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering
    Experience working with business intelligence tools and dashboard creation
    Experience working with data acquisition / data integration
    Expertise with Python and the Python data stack (e.g., numpy, pandas, PySpark)
    Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness)
    Stock
    Unlimited paid time off
    Health, fitness, and office stipends
    The permanent ability to work wherever and however you want
    No C2C, 1099, or Contract-to-Hire. Recruiters need not apply.

    People Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

    Salary and compensation

    No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Education and Cloud jobs that are similar:
    $65,000 — $95,000/year
    Distributed team
    Paid time off
    4 day workweek
    Company retreats
    Mental wellness budget
    Equity compensation
    No whiteboard interview
    No politics at work
    We hire old (and young)
    Location

    Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks

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