Sr. Data Analyst

3 days ago

Manila, National Capital Region, Philippines John Clements Consultants, Inc. Full time

The Sr. Data Analyst is responsible for supporting the Data Analytics initiatives by actively participating in the organization, analysis, and interpretation of data.

Responsibilities

Conduct comprehensive data analysis to extract meaningful insights and support decision making processes Collaborate with cross-functional teams to understand data requirements and deliver actionable insights Develop and maintain data models and reports to facilitate efficient data analysis Contribute to the planning, execution, and delivery of data analytics projectsFollow established processes and methodologies to streamline workflows, enhance efficiency, and collaborate seamlessly with internal stakeholders Manage the development and upkeep of a robust data infrastructure and architecture Contribute to the implementation and optimization of processes to ensure scalability, security, and effectiveness in data processing Support the integration of data models and reports within the established infrastructure Contribute to knowledge-sharing initiatives through training sessions and workshops for both customers and internal stakeholders QualificationsBachelor's degree in Computer Science, Information Technology, Business and the likeAt least 5 years of experience in Data Analysis and AnalyticsExperience in building data pipelines (Apache Airflow, SSIS experience is advantageous).Proficient with analytical/reporting tools (Power BI, Tableau or Apache Superset are preferred).Skilled in programming for data manipulation (DAX, SQL, or Python are preferred).Well-versed in the use of relational database systems, such as MS SQL Server, along with data management techniques.Familiarity with constructing and refining data models (SSAS, Clickhouse experience is advantageous).A clear understanding of the significance of data governance, coupled with practical experience in managing data governance elements such as data glossaries and data lineage.Capability to ensure data integrity through quality checks, validation, and integration.Competence in translating complex data sets into comprehensible visual reports and dashboards.Effective communication and interpersonal skills Midshift/Hybrid set-up

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