GCP Data Analytics

LTM; Cincinnati (OH); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Comprehensive Medical Plan covering Medical, Dental, Vision

Short-Term and Long-Term Disability Coverage

401(k) Plan with Company match

Life Insurance

Vacation Time, Sick Leave, Paid Holidays

Paid Paternity and Maternity Leave

Job summary

LTM is seeking a GCP Data Analytics expert in Cincinnati, OH to lead advanced analytics initiatives. Candidates should have 11-15 years of experience in data analytics with proficiency in GCP BigQuery, Python, and ANSISQL for developing scalable data pipelines. Responsibilities include mentoring team members, troubleshooting data issues, and collaborating with cross-functional teams to drive actionable insights. The position offers a comprehensive benefits package including medical, disability coverage, 401(k), and generous leave policies.

Qualifications

• 11 to 15 years of experience in data analytics.
• Proficiency in GCP BigQuery and Python for data processing.
• Experience with ANSISQL for complex data queries.

Responsibilities

• Lead design and implementation of data analytics projects.
• Perform data modeling and schema design.
• Mentor junior team members on data engineering best practices.
• Troubleshoot complex data-related issues for high availability.
• Collaborate with stakeholders on data insights.
• Drive automation of data workflows to enhance efficiency.

Skills

GCP BigQuery

Python

ANSISQL

Data Analytics

Data Engineering

Job description

Job Summary

Seeking GCP Data Analytics proficient in GCP BigQuery, Python and ANSISQL to lead advanced data analytics initiatives with 11 to 15 years of experience.

Job Description

Design, develop, and optimize scalable data pipelines and workflows using GCP BigQuery to support complex data analytics projects. Utilize Python for data processing, automation, integration with cloud data services, and advanced analytics tasks. Write and maintain complex ANSISQL queries for data extraction, transformation, and analysis across large datasets. Collaborate with cross‑functional teams—including business stakeholders, data scientists, and engineers—to translate business requirements into technical solutions. Ensure data quality, governance, and security standards are maintained within cloud data environments. Stay current with emerging trends and best practices in GCP Data Analytics to continuously enhance data infrastructure and analytics capabilities.

Roles and Responsibilities

• Lead the design and implementation of enterprise‑level data analytics projects leveraging GCP BigQuery and Python.
• Perform advanced data modeling, schema design, and query optimization to improve performance and scalability.
• Mentor and guide junior and mid‑level team members on best practices in data engineering, analytics, and cloud technologies.
• Troubleshoot and resolve complex data‑related issues ensuring high availability and minimal downtime.
• Collaborate with stakeholders to define data requirements, develop actionable insights, and support strategic decision‑making.
• Drive automation of repetitive data workflows and processes to enhance operational efficiency and reduce manual effort.

Benefits and Perks

• Comprehensive Medical Plan covering Medical, Dental, Vision.
• Short‑Term and Long‑Term Disability Coverage.
• 401(k) Plan with Company match.
• Life Insurance.
• Vacation Time, Sick Leave, Paid Holidays.
• Paid Paternity and Maternity Leave.

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job‑related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation such as an annual performance‑based bonus, sales incentive pay and other forms of bonus or variable compensation.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family‑care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.