Data Scientist

Perfict Global; Sacramento (CA); On-site; USD 60,000 - 100,000; Full time

Job summary

Join a forward-thinking IT consulting firm that excels in delivering innovative workforce solutions to Fortune 500 companies. As a data analyst, you will play a crucial role in designing and developing methods to analyze diverse big data sources, generating actionable insights to enhance client services and products. You will collaborate with cross-functional teams to understand requirements and create sustainable data solutions while utilizing advanced tools and technologies for high-volume data processing. This position offers a dynamic environment where your analytical skills will make a significant impact on business performance and strategy. If you're passionate about data and eager to drive results, this opportunity is perfect for you.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Fun Work Environment

Qualifications

• Strong expertise in data analysis and SQL for effective data solutions.
• Experience in developing data governance standards and automation.

Responsibilities

• Lead analytics functions to achieve key goals and provide insights.
• Develop SQL queries and visualizations for reporting needs.

Skills

Data Analysis

SQL

Data Visualization

Data Mining

Statistical Analysis

Automation

Problem Solving

Education

Bachelor's Degree in Computer Science or related field

Tools

Data Governance Standards

High-Volume Data Processing Tools

Job description

About Us:
Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.

We provide excellent benefits such as Medical, Dental, Vision ++ a fun company to work!!!

Job Description:

1. Designs, develops and programs methods, processes, and systems to consolidate and analyze structured/unstructured, diverse "big data” sources to generate actionable insights and solutions for client services and product enhancement.
2. Builds "products" for Analysis.
3. Interacts with product and service teams to identify questions and issues for data analysis and experiments.
4. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
5. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Responsibilities:

1. Lead to the accomplishment of key goals across consumer and commercial analytics functions.
2. Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations.
3. Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language.
4. Validate key performance indicators and build queries to quantitatively measure business performance.
5. Communicate with cross-functional teams to understand the business cause of data anomalies and outliers.
6. Develop data governance standards from data ingestion to product dictionaries and documentation.
7. Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax.
8. Organize and transform information into comprehensible structures. Use data to predict trends and perform statistical analysis.
9. Use data mining to extract information from data sets and identify correlations and patterns. Monitor data quality and remove corrupt data.
10. Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing.
11. Improve existing processes through automation and efficient workflows.
12. Build and deliver scalable data and analytics solutions.
13. Work independently and take initiative to identify, explore and solve problems.
14. Design and build innovative data and analytics solutions to support key decisions.
15. Support standard methodologies in reporting and analysis, such as data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
16. Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.