Managed Services - SAS BI Developer - Senior Associate

Responsibilities

• Analyzing complex datasets to extract actionable insights and support data-driven decision-making
• Developing and implementing data visualization solutions using tools like Power BI and Tableau
• Conducting predictive modeling and statistical analysis to identify trends and inform strategic planning
• Collaborating with clients to understand their data needs and deliver tailored analytics solutions
• Managing data integrity and quality to validate reliable and accurate reporting
• Utilizing Microsoft SQL Server Data Tools for efficient data manipulation and analysis
• Creating and maintaining dashboards to track key performance indicators and business metrics
• Leading research initiatives to explore new data analytics methodologies and technologies
• Preparing comprehensive reports and presentations to communicate findings and recommendations
• Supporting the development of data-driven strategies to optimize client operations and achieve business goals

Requirements

• At least a Bachelor's degree
• At least 3 years of experience
• Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
• One of the following certifications: Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
• Utilizing advanced data analysis techniques to drive insights
• Developing complex data models to support business decisions
• Leveraging Power BI and Tableau for impactful data visualization
• Conducting predictive analytics to anticipate client needs
• Excelling in complex data analysis and statistical methodologies

Qualifications

• Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
• One of the following certifications: Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
• Utilizing advanced data analysis techniques to drive insights
• Developing complex data models to support business decisions
• Leveraging Power BI and Tableau for impactful data visualization
• Conducting predictive analytics to anticipate client needs
• Excelling in complex data analysis and statistical methodologies

Skills

• Advanced data analysis techniques
• Data visualization tools (Power BI, Tableau)
• Predictive modeling and statistical analysis
• Data manipulation and analysis using Microsoft SQL Server Data Tools
• Data integrity and quality management
• Data-driven decision-making
• Collaboration with clients
• Client support
• Strategic planning
• Optimizing operations
• Communicating findings and recommendations

Benefits

• Medical
• Dental
• Vision
• 401(k)
• Holiday pay
• Vacation
• Personal and family sick leave
• Discretionary bonus

Pay

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

Schedule

N/A

Benefits

To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Equal Opportunity Employer

PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

Los Angeles County Fair Chance Ordinance

PwC does not intend to hire experienced or entry level job seekers that will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

How We Work

Learn more about how we work: https://pwc.to/how-we-work

Anticipated Application Deadlines

Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines