Compunnel
As a Senior Data Analyst, you will play a key role in advancing the organizations data and analytics strategy.
This position involves working closely with business stakeholders to execute data-driven initiatives, perform complex data analysis, and promote data literacy across the company.
You will leverage your expertise in analytics, data modeling, and collaboration to deliver impactful insights and solutions.
Key Responsibilities
Collaborate with business stakeholders to understand data requirements and deliver actionable insights.
Conduct data cleaning, transformation, and visualization to uncover meaningful trends in large datasets.
Partner with data engineering teams to build and maintain efficient ETL pipelines and workflows.
Apply statistical techniques and machine learning algorithms to drive predictive insights and optimize business outcomes.
Develop and maintain data models, data dictionaries, and related documentation to ensure consistency and accuracy.
Conduct exploratory data analysis to provide performance improvement recommendations.
Identify automation and optimization opportunities in data processes and workflows.
Monitor data quality and address data anomalies or discrepancies proactively.
Participate in cross-functional data projects, offering expertise in analytics, visualization, and data management.
Support business case development, value propositions, and project prioritization efforts.
Interpret and present complex data findings to non-technical audiences.
Lead or support projects with significant functional or strategic impact.
Mentor and guide less experienced professionals and provide training on tools and best practices.
Stay current with advancements in data analytics, science, and engineering and integrate new practices into the organization.
Required Qualifications
Bachelors degree in Data Science, Analytics, Mathematics, Statistics, Computer Science, or a related field. Minimum of 5 years of experience in data analytics roles. Experience analyzing and reporting on call center or customer data. Strong proficiency in Tableau for data visualization. Experience with cloud platforms (GCP, Azure, AWS). Experience with data warehousing technologies such as Oracle, SAP HANA, and Google BigQuery. Advanced SQL skills for querying and data manipulation. Proficiency in Python and/or R for analysis and scripting. Solid understanding of data modeling concepts and experience with relevant tools. Familiarity with machine learning and statistical modeling techniques. Experience with ETL processes, data warehousing, and database management. Strong problem-solving, analytical, and communication skills. Ability to present data insights to non-technical audiences across all levels of the organization. Preferred Qualifications
Experience in the utility or energy sector. Familiarity with data governance practices.
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Bachelors degree in Data Science, Analytics, Mathematics, Statistics, Computer Science, or a related field. Minimum of 5 years of experience in data analytics roles. Experience analyzing and reporting on call center or customer data. Strong proficiency in Tableau for data visualization. Experience with cloud platforms (GCP, Azure, AWS). Experience with data warehousing technologies such as Oracle, SAP HANA, and Google BigQuery. Advanced SQL skills for querying and data manipulation. Proficiency in Python and/or R for analysis and scripting. Solid understanding of data modeling concepts and experience with relevant tools. Familiarity with machine learning and statistical modeling techniques. Experience with ETL processes, data warehousing, and database management. Strong problem-solving, analytical, and communication skills. Ability to present data insights to non-technical audiences across all levels of the organization. Preferred Qualifications
Experience in the utility or energy sector. Familiarity with data governance practices.
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