Data Analyst (MSO) - Ampcus Incorporated

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Data Analyst (MSO)

Location(s): Merrifield, VA

• This position encompasses a comprehensive analysis lifecycle, covering requirement gathering, activity execution, and design planning.
• The ideal candidate will transform raw data into structured information, which will then be analyzed to glean insights that drive strategic decision making in business.
• Partner with business stakeholders and other analysts to understand business data needs, capture data requirements, and perform data collection, processing, and cleaning.
• Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have impact on the achievement of operational goals.
• Advanced skill set and proficiency with procedures and analysis techniques.

• Work with technology organization and business end-users to understand data and analysis needs and develop technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
• Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
• Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
• Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems.
• Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
• Analyze and resolve complex data quality issues, utilizing advanced data profiling, cleansing, and monitoring techniques to maintain data integrity and reliability.
• Develop and implement advanced data cleaning and validation processes, including outlier detection, imputation methods, and anomaly detection, to maintain data integrity and quality.
• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects.
• Partner with data science teams to maintain statistical models for ongoing and ad hoc review and analysis of data.
• Build working relationships with team members and subject matter experts.
• Lead small projects and initiatives.

• 5-7 years of experience in data analysis and reporting.
• Complete knowledge and understanding of Cloud Concepts and Cloud data management.
• Proficient Skill in data manipulation and scripting languages such as SQL, Python, Pyspark, as well as advanced data cleaning and preprocessing techniques and tools.
• Effective skill with ETL tools and techniques, data cleaning, and other analytical techniques required for data usage.
• Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
• Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences.
• Strong understanding of data governance principles and practices.
• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields.