Sr. Data analyst

We are seeking a highly skilled and experienced Senior Data Analyst to join our team. As a Senior Data Analyst, you will play a crucial role in providing insights and recommendations based on data analysis to drive key business decisions. You will be responsible for extracting, transforming, and analyzing large datasets from various sources, including databases, to uncover trends, patterns, and actionable insights.

Key Responsibilities:

• Utilize advanced data analysis techniques to extract, transform, and analyze large datasets from various sources, including databases, data warehouses, and external sources.
• Collaborate with cross-functional teams to define key metrics, KPIs, and data requirements to support business objectives.
• Develop and maintain data pipelines and workflows to automate data extraction, transformation, and loading processes.
• Perform exploratory data analysis to uncover trends, patterns, and correlations in the data.
• Develop predictive models and machine learning algorithms to forecast trends and make recommendations for business improvement.
• Communicate findings and insights effectively to stakeholders through data visualizations, reports, and presentations.
• Provide guidance and mentorship to junior analysts on data analysis best practices and methodologies.
• Stay up-to-date with the latest trends and advancements in data analytics, machine learning, and data visualization techniques.
• At least five (5) years of experience in administering on-prem/cloud based multi user environments with expertise in planning, designing, building, and implementing complex database systems.
• Experienced with MS SQL Server database administration throughout the non-production (Sandbox, development, test, UAT, Training), pre-production (Staging) and production lifecycles in an AWS environment.
• Testing database security and enterprise policy guidelines according to established best practices.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field. Advanced degree preferred.
• Minimum of 5 years of experience in data analysis, preferably in a senior or lead role.
• Strong proficiency in SQL for data extraction and manipulation from relational databases such as SQL Server, Oracle, or MySQL.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
• Proficiency in programming languages such as Python or R for data analysis and statistical modeling.
• Experience with machine learning techniques and algorithms for predictive modeling and pattern recognition.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• AWS cloud-based SQL Servers database administration experience.