To skills: SQL, Data Modeling, Python, Tableau

Must be local to PLano, TX

W2 only

Schedule: Hybrid, Mon-Thurs in office, Fri WFH/remote

Summary:

The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.

Job Responsibilities:

Analyzes performance of process activities, identifies problem areas, and presents findings in clear, concise charts, graphs, tables, or summaries.

Establishes standardized methods of recording, tracking and reporting on activity.

Design, implement, automate and maintain large scale enterprise data ETL processes.

Modify existing databases and database management systems and/or direct programmers and analysts to make changes.

Test programs or databases, correct errors and make necessary modifications.

Assesses the need for process improvements based on activity trends and makes recommendations for improvements.

Conducts research on emerging products, services, approaches, and techniques in the area of data analysis.

Skills:

Strong interpersonal and consultative skills to translate and understand reporting requirements.

Ability to work as part of a team, as well as work independently or with minimal direction.

Excellent written, presentation, and verbal communication skills.

Demonstrated knowledge of one or more key information service standards such as SDLC, ITIL, QA/testing, Project Management, Six Sigma, etc.

Strong PC skills including knowledge of Microsoft SharePoint.

Education/Experience:

Bachelor's degree in a technical field such as computer science, computer engineering or related field required.

10+ years of experience required.

Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.

KEY RESPONSIBILITES/REQUIREMENTS:

Business Intelligence Analyst proficient in SQL, Python, and Tableau. Candidates should demonstrate the ability to code production grade SQL/Python queries, design optimal data models and create interactive dashboards and visualizations that drive business decisions. This role plays a crucial part in developing impactful and engaging dashboard solutions that drive customer service strategy. Require 5-8 years of experience, particularly within customer service operations.

Requirements -

• You are an expert in Tableau and can craft jaw-dropping dashboards that wow stakeholders and inform strategic decisions.

• You are a solid coder who uses either SQL & (Python/Spark/R) to deploy data solutions or data products into production.

• You are highly enthusiastic in uncovering actionable insights from data and conveying these insights to business as stories that stick.

• You are a strong analytical person who loves solving business problems using massive data sets.

• You interface with leadership and team members to get clarity on your requirements, end goals and deliverables.

• You are detail oriented but never loses sight of deadlines.

• You always have an eye on the products you deployed and never assumes that everything is ok.

• You are comfortable following the procedures and coding standards set by the organization

• You have MS or BS in Mathematics, Computer Science, Engineering, or Economics (required).

• You have 5-8 years of experience in Customer Service functions for consumer products, retail, tech, telecom, or financial industries.

• You have 4-6 years of experience in Big Data environment specifically Hive/Spark where you have worked on solutions that scale smoothly on high-volume (1TB+) & high-dimensionality (500+ variables per schema) data.

• You have worked with massive structured/unstructured data sets before.

Must have Soft Skills –

• Proactive and sometimes Reactive

o "Think and Jump right in" attitude

o Need to be an independent contributor simultaneously valuing feedback from team members

• Work Style –

o Be analytical and solve problems without losing sight of end goals

o Detail oriented but never lose sight of deadlines

• Procedure Oriented

o Clearly understand and agree on the standards set by the leadership and how they will be evaluated

o Maintain standards most of the time however should voice new procedures and systems

• Interpersonal skills-

o Need to be able to empathize with team and be able to control his/her internal state to handle the work load during ambitious targets.

o Given ambitious deadlines be proactive and extract clarity on requirements, deliverables and tasks from PM and leadership

• Quality Control –

o Constantly check on models and not assume that things are ok.

Core Responsibilities

• Follow agile development principles to develop and deploy cutting edge Data Products and POCs using massive sets of structured and un-structured data.

• Ensure the data product is deployed with through testing and is of highest quality

• Communicate the results to other members of team in a clear and intuitive manner

• Interface with leadership and team members regularly to brain storm ideas, communicate progress and risks.

• Use JIRA and Confluence as tools for Agile Project planning

• Communicate the progress and results in clear, concise and timely manner with other stake holders

Data - Responsibilities

• Always looking out for data resources that enhance the model performance

• Clearly communicate with PMs about acquisition of the data sources

• Work with team members to develop and design solutions for data products

• Write code to clean, munge, analyze, EDA, visualize terabytes of data

• Proficient in EDA and visualizations

• Debug the machine learning models with ease

• Understand the upstream and downstream interface requirements and design the solutions accordingly

• Always looking for avenues for automation in data pipelines wherever applicable

• Get comfortable in following team’s sprint planning procedures

• Clearly communicate with DE about deployment requirements

• Work with DE to get the data in Data Lake in required format.

Compliance - Responsibilities

• Ensure completeness of the product

• Make sure that the product is of highest quality

• Adept in documenting the analytical work. Ensure that the documentation is complete and reviewed by Team Leads.

• Ensure code meets team standards

• JIRA for agile development

Should have Knowledge and Experience

• Experience in Customer Service Operations in one of the following domains –

o Telecom/retail/e-commerce/consumer packaged goods (CPG), Mobile or Consumer electronics industries

• Agile Principles/Scrum/Kanban

• Solid understanding of Hadoop (Hive and Impala) & Spark (PySpark/Scala)

• Proficient in (Python/Scala/R/Java ) & SQL

• Proficient in Data Visualization Software – Tableau/Power BI.