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Officer – Data Analytics (Python, Tableau & SQL Database) - Product Developer Jobs

3 Job Offers

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Data Quality Lead Analyst
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Canada , Mississauga
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94300.00 - 141500.00 USD / Year
https://www.citi.com/ Logo
Citi
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Until further notice
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Sr. People Analytics & Insights Manager
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United States , Bellevue; Overland Park; Frisco
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101100.00 - 182400.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
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Until further notice
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REFM Analyst
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India , Gurugram
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Not provided
https://www.circlek.com Logo
Circle K
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Until further notice
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Embark on a dynamic career path as an Officer in Data Analytics, a pivotal role at the intersection of technology, business strategy, and product innovation. These professionals are the architects of data-driven decision-making, transforming raw data into actionable intelligence that fuels product development and business growth. For those seeking Officer – Data Analytics jobs, this career offers the unique opportunity to directly influence product strategy, user experience, and market competitiveness through the power of data. A typical day for an Officer in Data Analytics involves a comprehensive workflow from data extraction to insight delivery. Common responsibilities include designing and maintaining complex SQL databases to ensure robust and accessible data storage. Using Python, they perform sophisticated data wrangling, statistical analysis, and build predictive models to uncover hidden patterns, forecast trends, and identify key product opportunities. A significant part of their role is data visualization; they leverage tools like Tableau to create interactive dashboards and reports that translate complex analytical findings into clear, compelling narratives for stakeholders, product managers, and executives. This enables data-informed decisions on everything from feature prioritization and user segmentation to performance tracking and go-to-market strategies. The core skill set for these jobs is a powerful trifecta. Proficiency in SQL is non-negotiable for efficient data querying and manipulation. Advanced competency in Python, particularly with libraries like Pandas, NumPy, and Scikit-learn, is essential for data analysis and machine learning applications. Finally, expertise in Tableau or similar BI tools is critical for effective data storytelling and visualization. Beyond technical prowess, successful candidates possess strong business acumen to connect data insights to product goals, exceptional problem-solving abilities, and keen attention to detail. Excellent communication skills are paramount for articulating findings to both technical and non-technical audiences. Typical requirements for these positions usually include a bachelor’s or master’s degree in Data Science, Computer Science, Statistics, or a related quantitative field, coupled with proven professional experience in a data analytics capacity. If you are a curious, analytical thinker passionate about building better products and shaping business strategy, exploring Officer – Data Analytics jobs could be your ideal next career move. This profession is at the heart of the modern digital economy, offering a challenging and rewarding environment for those who speak the language of data.

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