Senior Data Analyst (only W2) Location: Houston, Texas

Overview

On Site
Contract - W2

Skills

Data Analyst with at least 5+ years of experience Must have experience providing analytics and dashboards related to call/contact center envrionments Tools: Tableau and SQL

Job Details

Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.

Hello,

Hope you are doing good!!

We at Cerebra Consulting, Inc. have an exciting job opening with one of our clients. Please go through the job description below and if you are interested, share your update resume with contact details.

Position: Senior Data Analyst (only W2)

Location: Houston, Texas

Schedule: Hybrid, onsite Monday-Wednesdays and remote Thursday and Fridays.

Type: 6 12-month contract

Required Skills

Data Analyst with at least 5+ years of experience. Must have experience providing analytics and dashboards related to call/contact center environments. Tools: Tableau and SQL

Job Summary:

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.

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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.

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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 5 years of related experience.
  • Experience working with call center, customer, and reporting data.
  • Strong proficiency in Tableau Data visualization software.
  • 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.
  • 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.

Preferred Experience:

  • Project Management Experience
  • Utility or energy experience
  • Experience with data governance
Thanks,

Vivek Srivastava

US IT Recruiter

Cerebra Consulting Inc,

Contact -: ext.-164

mail -

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