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The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities- Lead the end-to-end analytical process, from understanding business questions to data extraction, analysis, interpretation, and presentation of insights.
- Design, develop, and maintain complex SQL queries to extract, manipulate, and analyze large datasets from various sources.
- Utilize statistical methods and data modeling techniques to identify trends, patterns, and anomalies, providing data-driven recommendations.
- Create compelling and informative data visualizations, dashboards, and reports using Business Intelligence (BI) tools (e.g., Tableau, Power BI, Looker) to communicate key findings to business leaders.
- Collaborate with cross-functional teams, including product, engineering, and business units, to define key performance indicators (KPIs) and analytical requirements.
- Translate complex analytical concepts and results into clear, concise, and actionable insights for both technical and non-technical audiences.
- Mentor and guide junior analysts, fostering their technical and analytical skills and ensuring adherence to best practices.
- Identify opportunities for process improvements and automation within data analytics workflows.
- Ensure data quality, integrity, and accuracy across all analytical projects and reports.
- Stay abreast of industry best practices, new analytical techniques, and emerging technologies in data science and analytics.
- Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
- Minimum of 8 years of progressive experience in data analytics, business intelligence, or a similar data-focused role.
- Expert-level proficiency in SQL for data extraction, manipulation, and analysis of large, complex datasets.
- Strong experience with at least one programming language commonly used for data analysis (e.g., Python, R) and relevant libraries (e.g., Pandas, NumPy in Python; dplyr, ggplot2 in R).
- Demonstrable expertise in using Business Intelligence (BI) tools (e.g., Tableau, Power BI, Looker, Qlik Sense) to create interactive dashboards and reports.
- Proven ability to perform statistical analysis, hypothesis testing, and apply data modeling techniques.
- Excellent problem-solving skills, with a keen attention to detail and accuracy.
- Exceptional communication and presentation skills, with the ability to articulate complex analytical findings to diverse audiences.
- Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a fast-paced environment.
- Strong critical thinking and intellectual curiosity.
- Master's degree in a quantitative field.
- Experience with cloud-based data platforms and services (e.g., AWS Redshift/S3/Athena, Google BigQuery/Cloud Storage, Azure Data Lake/Synapse Analytics).
- Familiarity with advanced analytical techniques such as predictive modeling, machine learning concepts, or causal inference.
- Experience with big data technologies (e.g., Hadoop, Spark).
- Domain knowledge in financial services, e-commerce, or other relevant industries.
- Experience with A/B testing frameworks and interpretation of results.
- Certification in relevant analytics tools or cloud platforms.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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