Reporting and Analytics Senior Analyst

Key Skills

Algorithms, Data Analytics, Data Modeling, Data science techniques, Data Visualization, Data Warehousing, Machine learning techniques, Python Programming, R Programming, SQL, Statistics, Tableau, Web APIs, XML-JSON

Job Description

Responsibilities

Data Analysis and Interpretation

• Collaborate with multi-functional teams to understand business objectives and define data requirements
• Collect, clean, and preprocess raw data from various sources to ensure its accuracy and integrity
• Apply statistical analysis techniques to uncover trends, patterns, and insights within the data

Tableau Visualization

• Develop interactive and visually compelling Tableau dashboards and reports that effectively communicate sophisticated data insights to partners
• Build customized visualizations, graphs, charts, and maps to facilitate data-driven decision-making
• Optimize Tableau dashboards for performance, usability, and responsiveness

Data Science Techniques

• Apply advanced data science techniques, such as predictive modeling, clustering, classification, and regression, to solve business problems
• Apply machine learning algorithms to develop predictive models and find opportunities for process improvement

API and JSON Data Extraction

• Utilize APIs and JSON data sources to extract relevant data for analysis, visualization, and modeling purposes
• Develop scripts or tools to automate the extraction and transformation of data from APIs into usable formats

Insightful Reporting

• Present analysis results and insights to non-technical partners through clear and concise reports, presentations, and visualizations
• Translate technical findings into practical recommendations that drive business strategies

Data Governance and Quality

• Assist in establishing data governance practices to ensure data accuracy, consistency, and compliance with industry standards and regulations
• Implement data validation and quality checks to maintain the integrity of the data used for analysis

Continuous Learning and Innovation

• Stay ahead with industry trends, standard processes, and emerging technologies in data science and analytics
• Proactively suggest innovative approaches to data analysis and visualization that can enhance decision-making processes

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master's degree is a plus
• Demonstrable experience (4 years) as a Tableau Developer or Data Analyst, with a solid portfolio of Tableau dashboards and data visualization projects
• Proficiency in data manipulation, analysis, and visualization using tools like Tableau, Python, R, or similar
• Solid understanding of statistical concepts and data science methodologies
• Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) is desirable
• Strong problem-solving skills and the ability to translate complex technical concepts to non-technical partners
• Good communication skills to convey findings and recommendations effectively
• Attention to detail and a commitment to data accuracy and quality
• Experience with SQL and data querying is a plus
• Knowledge of database management and data warehousing concepts is advantageous

Required Skills

• Proficiency in Tableau for creating interactive and visually appealing data visualizations
• Strong programming skills in languages such as Python, R, or similar for data analysis and manipulation
• Familiarity with statistical analysis techniques and data modeling concepts
• Experience with machine learning algorithms and libraries for predictive modeling and data-driven insights
• Good communication skills to effectively present findings and insights to both technical and non-technical audiences
• Knowledge of data governance and quality assurance practices
• Experience with SQL for data querying and manipulation is preferred
• Familiarity with database concepts and data warehousing is a plus
• Power BI/Looker experience is also a plus
• Certification in Tableau/ML courses

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