We are seeking a highly motivated and skilled Data Analyst to join our dynamic team. As a Data Analyst, you will play a key role in driving data-driven decision-making across the organization by analyzing data sets, generating visualization, valuable insights and reports. You will work closely with various teams to identify trends, patterns, and opportunities that can improve business processes and enhance overall performance.

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Responsibilities

Data Analysis and Insights: ‍

-Utilize your expertise in data analysis to mine and analyze data from our current application. Identify trends, patterns, and user behavior to generate valuable insights that will drive strategic decisions and enhance user experience.

‍Architectural Recommendations:

-Collaborate with the development team to recommend and implement architectural modifications that improve the collection and storage of data from various sources within the application. Ensure data integrity and accessibility for analysis purposes.

‍App Visualization Enhancements:

-Enhance the visualization of application data by creating compelling and intuitive data visualizations. Develop interactive dashboards and reports that provide clear and actionable information to stakeholders.

‍App Events Definition:

-Work closely with product managers and developers to define relevant application events and data tracking requirements. Ensure the proper implementation of event tracking to capture critical user interactions and behaviors.

‍Dashboard Views:

-Design and set up dashboard views that showcase usage metrics and behavioral data. These dashboards will provide real-time insights into application performance and user engagement.

‍Ad Hoc Reporting:

-Respond to ad hoc data requests from various departments promptly. Generate reports and conduct analysis to address specific business questions and challenges.

‍Report Generation:

-Develop and deliver comprehensive reports and visualizations to communicate analytical findings to stakeholders. These reports will be used to guide strategic planning, performance evaluation, and process improvement.

‍Data Quality Assurance:

-Implement data quality assurance measures to ensure accurate and reliable data analysis and reporting.Technology and Tools: Stay up-to-date with the latest data analytics tools and technologies. Leverage your expertise to continuously improve data analytics capabilities within the team.

‍Collaborative Teamwork:

-Collaborate with cross-functional teams, including product managers, developers, and marketing, to provide data-driven insights and support decision-making processes.

‍Data Modeling:

-Utilize statistical techniques and machine learning algorithms to create predictive and prescriptive models. These models will help forecast future trends, optimize resources, and identify potential risks.Training and Support: Provide training and support to team members and other stakeholders on data analysis techniques and tools.

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Requirements

-Bachelor's or Master's degree in Computer Science or a related field.

-Proven experience as a Data Analyst, Data Scientist, or in a similar role.

-Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL.

-Experience with data visualization tools like Tableau, Power BI, or similar.

-Ability to analyze existing tools and databases and provide software solution recommendations.

-Strong understanding of statistical concepts and machine learning algorithms.

-Familiarity with databases and data warehousing concepts.

-Excellent analytical and problem-solving skills.

-Strong attention to detail and ability to work with complex, unstructured data sets.

-Effective communication and presentation skills to convey technical findings to non-technical stakeholders.

-Ability to work independently as well as in a collaborative team environment.

-Strong organizational and time-management skills to manage multiple projects and deadlines.