Sr. Data Analyst, Sr. Data Engineer
- Andeo Group LLC.
102 Days Ago
NA
NA
Evansville-IN
8-11 Years
Required Skills: Oracle Databases, SAP HANA, Google BigQuery,Tableau & PowerBI
Job Description
ETL & BIGQUERY SQUEL STATEMENTS (8-9/10)
· Must be proficient with Tableau & PowerBI
· Understanding large data sets - go getter, roll up sleeves and ready to learn data & systems.
· Communicate with stake holders.
SOFT SKILLS:
· Personable
· strong communication
· team player
FORMAL HR JOB DESCRIPTION:
Our data analysts will leverage their knowledge of systems, business processes, regulatory requirements, and mathematical/statistical expertise to develop new datasets, provide oversight to processes and systems affecting data quality, and perform exploratory analysis to discover new insights. As a Senior Data Analyst, you will play a crucial role in supporting the organization's data and analytics strategy by working closely with the business to execute on data-driven initiatives. You will be responsible for developing data solutions, performing data analysis, and growing data awareness and literacy within the company. This role requires a strong foundation in data analytics with a good understanding of data science, data engineering, and data modeling skills.
Essential Functions:
· Collaborate with business stakeholders to understand their data needs and requirements and translate them into actionable insights and data-driven solutions.
· Perform data analysis tasks, including data cleaning, data transformation, and data visualization, to uncover meaningful patterns and trends in large datasets.
· Partner with data engineering to develop and maintain data pipelines and workflows, ensuring efficient and accurate data extraction, transformation, and loading (ETL) processes.
· Apply statistical analysis techniques and machine learning algorithms to identify correlations, predict outcomes, and optimize business processes.
· Assist in the development and maintenance of data models, data dictionaries, and data documentation to ensure data integrity and consistency.
· Conduct exploratory data analysis to discover insights and provide recommendations for improving business performance and decision-making.
· Collaborate with data engineers and data scientists to identify opportunities for automation and optimization of data processes and workflows.
· Monitor data quality and proactively identify and resolve data discrepancies or anomalies.
· Participate in cross-functional teams to support data-related projects, providing expertise and guidance on data analysis, data management, and data visualization.
· Work on business case development, project value proposition, and help with workload prioritization.
· Stay updated with the latest industry trends and advancements in data analytics, data science, and data engineering, and apply this knowledge to enhance data capabilities within the organization.
· Constant, self-motivated pursuit of learning systems, organizational structure, processes, data sets, techniques, etc.
· Interpret and explain information to audiences who are not familiar with the subject matter, often requiring persuasion.
· Is required to review and recommend solutions to issues that involve a number of possible alternatives which may not be clearly defined.
· Serve as a project lead or task force member on projects and/or issues having a significant impact on functional and strategic goals.
· Provide guidance and training to others in the use of new technologies, theories, concepts, and techniques.
· Constant, self-motivated pursuit of learning systems, organizational structure, processes, data sets, techniques, etc.
· Operate with limited supervision, guidance, and direction from leadership and senior staff.
· Provide training and guidance to less experienced professionals.
Qualifications
· Education: bachelor’s degree from an accredited college or university in Data Science, Analytics, Mathematics, Statistics, Computer Science, or a related field.
EXPERIENCE
· Requires a minimum of 5 years of related experience.
· Strong proficiency in Data visualization software like PowerBI, Tableau, and Looker.
· Strong proficiency in Cloud Computing Platforms such as GCP, Azure, and AWS.
· Experience with Data Warehousing technology like Oracle Databases, SAP HANA, Google BigQuery
· Strong proficiency in SQL for data querying and manipulation.
· Strong in programming languages such as Python and R for data analysis and scripting.
· Understanding of data modeling concepts and experience with data modeling tools.
· Experience working with machine learning, statistical techniques and algorithms
· Proficiency in ETL processes, data warehousing, and database management systems.
· Excellent problem-solving and analytical skills, with attention to detail
· Experience interacting with employees of all levels to present technical data in a non-technical manner.
· Strong communication skills, with the ability to translate complex data concepts into understandable insights for non-technical stakeholders.
