Data Analyst

2 weeks ago


Shreveport, United States Marvica Technologies Full time
Job DescriptionJob Description

Job Summary:

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 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 some 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-motiviated pursuit of learning systems, organizational structure, processes, data sets, techniques, etc.
  • Operate with moderate supervision, guidance, and direction from leadership and senior staff.
  • May provide training and guidance to less experienced professionals.

Basic 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 3 years of related experience.
  • Experience with Data visualization software like PowerBI, Tableau, and Looker.
  • Experience with Cloud Computing Platofrms such as GCP, Azure, and AWS.
  • Experience with Data Warehousing technology like Oracle Databases, SAP HANA, Google BigQuery
  • Proficiency in SQL for data querying and manipulation.
  • Proficiency 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
  • Experience with 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.

Preferred Experience:

  • Project Management Experience
  • Utility experience
  • Experience with data governance

Competencies:

  1. Business and Financial Acumen Understand the impact actions and decision have on the bottom line of the enterprise.
  • Understand drivers of profitability.
  • Use resources efficiently.
  • Demonstrate an understanding of how day-to-day activities impact CNP bottom line.
  • Proactively look for and implement ways to reduce or contain costs where appropriate.
  • Knowledgeable of technology enhancements and the efficiencies it brings to company operations

  1. Coaching and Development Develop others' capabilities to empower them to reach their potential.
  • Seek opportunities to get input from others for continuous improvement.
  • Provide honest and courageous feedback to others.
  • Seek out and be open to feedback from others.
  • Inspires, motivates and guides others toward achievement of growth and development goals

  1. Collaboration Eliminate boundaries and drive common goals.
  • Shares information proactively with others in order to achieve shared goals.
  • Collaborates openly with others as a team player to accomplish company/organization objectives.
  • Demonstrates understanding of the impact of own actions on other team members and/or other departments.
  • Demonstrates behavior that allows others to contribute to their full potential.

  1. Connecting, Listening, and Sharing Maintain open, active, two-way communication
  • Proactively share and seek out ideas with others.
  • Demonstrate openness and accessibility to others.
  • Share thoughts and feelings in a direct, genuine, and respectful way.
  • Demonstrate you have listened to and understand others' points of view.
  • Actively seek diverse perspectives.

  1. Customer Focus Through Service Understand and exceed the expectations of internal and external customers
  • Deliver customer-focused strategies that build and sustain customer commitment and loyalty. Exceed internal and/or external customer's expectations.
  • Accept responsibility for the quality of service delivered.
  • Demonstrate commitment to continuous improvement of services.
  • Readily readjust priorities to pressing and changing customer demands.

  1. Enterprise Mindset Act in way that are best for the company as a whole
  • Clearly understand the impact and implications of decisions to the company.
  • Place organizational success above individual and team gain.
  • Focus on efforts that add significant value and align according to priorities.
  • Understand the big picture and the impact when executing plans and making decisions.

  1. Results Orientation Reject the status-quo, find opportunities to improve and drive outstand business results
  • Drive for results consistent with the organization's vision, mission, and strategies.
  • Demonstrate curiosity by challenging assumptions and questioning processes.
  • Assess individual performance against a set of measurable criteria.
  • Hold self and others accountable for verifying results and living the values.
  • Demonstrate willingness to examine successes and failures in order to apply what was learned to improve individual performance.
  • Perform the duties and responsibilities of his or her position efficiently and effectively.
  • Manages one's own time, energy and abilities and leverages the use of technology for maximum performance.

  1. Steadiness-Demonstrate strength, poise, and an appropriate presence.
  • Project credibility in adversarial situations.
  • Make decisions confidently and wisely, after considering alternative courses of action.
  • Handle conflict effectively.
  • Remain focused and positive during periods of transition or uncertainty.
  • Act to preserve relationships, even under difficult or heated circumstances.
  • Publicly model behavior that supports the vision and values.


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