WiproEmployer profile
Production Specialist
Location not specified · 5–83.3 yrs
Experience- 5–83.3 yrs
Salary- Not disclosed
Location- Location not specified
- Work mode
- Not specified
- Job type
- Full-time
Apply by- Closing date not listed
- Posted
- 11 Jan 9
About this role
Job Summary:We are seeking an experienced Lead Data Analyst to spearhead our data modeling, data warehousing, and ETL initiatives within complex projects. The ideal candidate will possess a deep understanding of data architecture, analytics, and extraction, transformation, and loading (ETL) processes. As a lead, you will guide and mentor a team of data analysts and work closely with cross-functional teams to support data-driven decision-making across the organization.
Key Responsibilities:
- Architect and execute creation of robust data models and data warehousing solutions to support business requirements and initiatives.
- Lead optimization, management and support for ongoing data models and ETL processes.
- Oversee the development and optimization of ETL processes, ensuring data is accurately extracted, transformed, and loaded into the data warehouse in a timely manner.
- Collaborate with technology and business stakeholders to identify and understand data sources, and define data collection and integration strategies.
- Develop and maintain scalable and reliable data pipelines that support complex data analysis and reporting needs.
- Guide the team in the analysis of large, complex datasets, providing insights and recommendations to drive business outcomes.
- Stay abreast of industry trends and advancements in data technology, adopting new tools and techniques to enhance data capabilities.
- Lead and mentor a team of data analysts, fostering a collaborative and innovative work environment.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
- A minimum of 5 years of experience in data analysis
- Strong expertise in data modeling, data warehousing, and ETL processes.
- Proficient in SQL and experience with data warehousing tools (e.g., Snowflake, Redshift, BigQuery) and ETL tools (e.g., Talend, Informatica, SSIS).
- Demonstrated ability to lead and manage complex projects involving cross-functional teams.
- Excellent analytical, problem-solving, and organizational skills.
- Strong communication and leadership abilities, with a track record of mentoring and developing team members.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Preference to candidates with experience in ETL using Python, Airflow or DBT
Stakeholder Type
Stakeholder Identification
Purpose of Interaction
Internal
Team Leaders
Performance review
HR
Hiring and employee engagement and retention
Training Team
Capability development
Technical Lead
Training, issue escalation/ resolution
External
Client
Query Resolution
Display
Lists the competencies required to perform this role effectively:
- Functional Competencies/ Skill
- Process Knowledge - Knowledge of assigned process, tools andsystems - Foundation to Competent
- Behavioral Competencies
- Collaborative working
- Problem solving and decision making
- Attention to Detail
- Execution Excellence
- Client (Internal) Centricity
- Effective Communication
Foundation
Knowledgeable about the competency requirements. Demonstrates (inparts) frequently with minimal support and guidance.
Competent
Consistently demonstrates the full range of the competency withoutguidance. Extends the competency to difficult and unknown situations aswell.
Expert
Applies the competency in all situations and is serves as a guide toothers as well.
Master
Coaches others and builds organizational capability in the competencyarea. Serves as a key resource for that competency and is recognizedwithin the entire organization.
No.
Performance Parameter
Measure
Process
No. of cases resolved per day, compliance to process and qualitystandards, meeting process level SLAs, Pulse score, Customer feedback
Self- Management
Productivity, efficiency, absenteeism, Training Hours, No oftechnical training completed
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