Overview
Contract - Independent
Contract - W2
Contract - Months Contract-To-Hire
Skills
Dashboard
Video
SAP
Soft Skills
Call Center
Collaboration
Data Cleansing
Workflow
Data Extraction
Extract
Transform
Load
Management
Continuous Improvement
Forecasting
Machine Learning (ML)
Algorithms
Business Process
Decision-making
Data Quality
Data Management
Business Cases
Data Analysis
Data Engineering
Organizational Structure
Supervision
Leadership
Training
Data Science
Analytics
Mathematics
Statistics
Computer Science
Data Visualization
Microsoft Power BI
Tableau
Cloud Computing
Google Cloud Platform
Google Cloud
Microsoft Azure
Amazon Web Services
Data Warehouse
Oracle
Database
SAP HANA
SQL
SAP FI
Reporting
Problem Solving
Conflict Resolution
Analytical Skill
Attention To Detail
Communication
Project Management
Finance
Job Details
Job: Tableau & Power BI Dashboard - 50/50 (Financial Data)
Location: Houston, TX 77002
Term: 6 month - C2H
Interview Process: 1 Hour video interview
Remote: Hybrid | 3 days onsite
Top Skills:
- Background in financial side
- Tableau & power BI - (50/50)
- Google Cloud Platform/Azure
- Oracle SAP Hana
- Has experience with transactions in SAP & understands numbers CAPX & OPEX amount, forecast amount & planned amount
- Understand cost elements
Soft Skills:
- Bridge between leadership & managers - to get data from call centers
- Problem solving analytics skills
- Good communication skills - able to present information
Our data analysts will leverage their knowledge of systems, business processes, regulatory requirements and mathematical/financial expertise to develop new datasets, provide oversight to processes 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 providing financial reports within the organization. This role requires a strong foundation in data analytics with a good understanding of data science, data engineering, and finance.
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.
- Manage the monthly forecasting process, driving continuous improvement to reduce variances and identify risks / opportunities in the forecast.
- Provide expense and capital forecast reports.
- Apply statistical analysis techniques and machine learning algorithms to identify correlations, predict outcomes, and optimize business processes.
- Conduct exploratory data analysis to discover insights and provide recommendations for improving business performance and decision-making.
- 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.
Basic Qualifications | Education:
Bachelor's degree from an accredited college or university in Data Science, Analytics, Mathematics, Statistics, Computer Science, Finance 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 Google Cloud Platform, Azure, and AWS.
Experience with Data Warehousing technology like Oracle Databases, SAP HANA, Google BigQuery
Strong proficiency in SQL for data querying and manipulation.
Experience with SAP finance reporting transaction.
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 Finance
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.