Data Analyst - 17889

Seneca Resources Company, LLC; Vienna (VA); On-site; USD 55,000 - 69,000; Full time

Job summary

Seneca Resources is seeking a Data Analyst to partner with Navy Federal Credit Union and stakeholders. The role focuses on understanding data needs, collecting and cleaning data, and supporting BI and data science initiatives.

You will work onsite in Vienna, VA with a W2 pay rate of $40-50 per hour on contract. You will conduct data quality audits, develop datasets, and assist in maintaining statistical models.

Qualifications

• 4-7 years of experience in data analysis and reporting.
• Strong knowledge of SQL, Python, or R and data cleaning techniques.
• Experience with AI tools and techniques for data usage.
• Statistical analysis methods such as regression and correlation.
• Understanding of data governance principles.
• Bachelor's degree in quantitative field.

Responsibilities

• Collaborate with stakeholders to capture data needs and define technical requirements.
• Perform data collection, processing and cleaning for large datasets.
• Support data science and BI projects with analytical input.
• Conduct data quality audits and ensure reporting accuracy.
• Identify data sets to improve key business outcomes.
• Maintain models and perform ongoing data analysis with a team.
• Lead small projects and work with SMEs.

Skills

SQL

Python

R

PowerBI

Data governance

Statistical analysis

PySpark

Data cleaning

Education

Bachelors in quantitative fields

Tools

PySpark

PowerBI

Job description

Role: Data Analyst

Location: Vienna, VA - 3 days a week onsite

Client: Navy Federal Credit Union

Work Authorization: US Citizens, Green Card Holders, TN Visa, Green Card EAD's.

Pay rate: $40-50/hr on W2

Contract

Partner with business stakeholders and other analysts to understand business data needs, capture data requirements, and perform data collection, processing and cleaning. Provide inputs for complex data science and business intelligence projects and perform analytical on large data sets to support departmental and organizational objectives. 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.

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Responsibilities

• 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
• 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

Role: Data Analyst

Location: Vienna, VA - 3 days a week onsite

Client: Navy Federal Credit Union

Work Authorization: US Citizens, Green Card Holders, TN Visa, Green Card EAD's.

Pay rate: $40-50/hr on W2

Contract

Partner with business stakeholders and other analysts to understand business data needs, capture data requirements, and perform data collection, processing and cleaning. Provide inputs for complex data science and business intelligence projects and perform analytical on large data sets to support departmental and organizational objectives. 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.

?????

Responsibilities

• 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
• 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

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Qualifications

• 4-7 years of experience in data analysis and reporting
• Complete knowledge and understanding of business area/specialization
• Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools
• Effective skill with AI tools and techniques, data cleaning, and other analytical techniques required for data usage
• Advanced skill with statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques
• Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling
• Knowledge of various data structures and ability to extract data sources (e.g., PySpark, PowerBI)
• Strong understanding of data governance principles and practices
• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

About Seneca Resources

Seneca Resources is client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Reston, Virginia, Alabama and Columbia, Maryland that service clients throughout the United States. The key to our success lies within our strong corporate culture which drives our business. We challenge our staff through engaging work, and we reward our staff through competitive compensation, extensive professional training, and excellent opportunities for career advancement. In turn, we look for only the best and brightest to join our team. We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.