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CLOSED: Data Analyst - Independent Contractor
WANT TO JOIN OUR TEAM?
WE CAN't WAIT.
Our team's digital inventiveness and mobile location expertise creates brand stories that produce results. We are seasoned professionals who have worked in marketing, technology, mobile, and beyond. Our skills include Micro-fencing, mobile strategy, data analytics, and more.
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Collect, clean, and preprocess data from multiple sources, ensuring data quality and integrity for analysis purposes.
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Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and correlations in datasets using statistical and data visualization techniques.
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Develop and maintain reports, dashboards, and data visualizations to communicate insights and KPIs to stakeholders using tools like Tableau, Power BI, or Google Data Studio.
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Collaborate with product managers, engineers, and business stakeholders to define data requirements, metrics, and key performance indicators (KPIs).
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Analyze user behavior, product usage data, and customer feedback to uncover actionable insights and opportunities for product improvements and optimizations.
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Conduct ad-hoc analysis and data mining to support business decisions, identify opportunities for growth, and address operational challenges.
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Work on data-driven projects such as cohort analysis, A/B testing, segmentation, and predictive modeling to support business objectives and initiatives.
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Stay updated with industry trends, best practices, and emerging technologies in data analytics, data visualization, and data management.
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Understanding, interpreting, and creating gap-analysis on the current data warehousing design and ETL processes.
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Design and build ETL processing for legacy/incomplete sources
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Other Duties as Assigned
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Proven experience (3-5 years) as a Data Analyst, Business Analyst, or similar role in a tech or data-driven environment.
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Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar tools for data manipulation, querying, and analysis.
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Experience with data visualization tools like Tableau, Power BI, Google Data Studio, or similar platforms to create interactive dashboards and reports.
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Strong analytical skills with the ability to translate complex data into actionable insights and recommendations.
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Familiarity with database systems (e.g., MySQL, PostgreSQL, MongoDB) and data warehousing concepts.
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Knowledge of basic statistical methods, hypothesis testing, and experimental design.
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Excellent communication skills with the ability to collaborate effectively with cross-functional teams and present findings to non-technical stakeholders.
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Detail-oriented mindset, problem-solving skills, and ability to work independently as well as part of a team in a fast-paced environment.
REQUIRED EDUCATION AND WORK EXPERIENCE:
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Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
PREFERRED QUALIFICATIONS:
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Advanced degree (Master's) is a plus.
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Prior experience with standard ML models: Logistic Regression, Support Vector Machines, Neural Networks, and Hidden Markov Models
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Experience implementing a real-world Recommender or Ranking system
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Worked with the Hadoop Ecosystem
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Implemented multi-core/distributed software, preferably in a Linux environment
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Experience working with Amazon Web Services
Digital Factory is an equal opportunity employer, committed to recruiting, hiring, and promoting qualified people of all backgrounds, regardless of sex; race; color; creed; national origin; religion; age; marital status; pregnancy; physical, disability; sexual orientation; gender identity or any other basis protected by federal, state or local law.