Lead Data Analyst
4 weeks ago
Key Responsibilities:- Architect and execute creation of robust data models and data warehousing solutions to support business requirements and initiatives.- Lead optimization, management and support for ongoing data models and ETL processes.- Oversee the development and optimization of ETL processes, ensuring data is accurately extracted, transformed, and loaded into the data warehouse in a timely manner.- Collaborate with technology and business stakeholders to identify and understand data sources, and define data collection and integration strategies.- Develop and maintain scalable and reliable data pipelines that support complex data analysis and reporting needs.- Guide the team in the analysis of large, complex datasets, providing insights and recommendations to drive business outcomes.- Stay abreast of industry trends and advancements in data technology, adopting new tools and techniques to enhance data capabilities.- Lead and mentor a team of data analysts, fostering a collaborative and innovative work environment.
Qualifications:- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.- A minimum of 5 years of experience in data analysis- Strong expertise in data modeling, data warehousing, and ETL processes.- Proficient in SQL and experience with data warehousing tools (e.g., Snowflake, Redshift, BigQuery) and ETL tools (e.g., Talend, Informatica, SSIS).- Demonstrated ability to lead and manage complex projects involving cross-functional teams.- Excellent analytical, problem-solving, and organizational skills.- Strong communication and leadership abilities, with a track record of mentoring and developing team members.- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.- Preference to candidates with experience in ETL using Python, Airflow or DBT
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