Job Description
Title: Data Analyst/ ANALYTICS ENGINEER 7 -9 years of exp
Hybrid – 3 days onsite in Plano, TX 75075
Visas: USC or GC only
Video interview with Amdocs followed by interview with end client
12 Months contract
Job Description
Please provide availabilities for your candidates for today and tomorrow – the sooner the better
· NO Fake DLs, No DLs from another state and located in another state
· NO Fabricated/Fake Resumes.
· Linkedin must NOT SHOW “United States” only – it should show the candidate's current city and state location.
· CANDIDATES must be under your company's W2 Not through another C2C – we don't want layers of C2C.
· DL PHOTO MUST BE HAND HELD not SCANNED or JUST A PHOTO OF IT.
– While strong SQL skills remain essential, success in this role requires a broader capability across Databricks, data engineering, end-to-end analytics, and Power BI development.
– This role is not limited to querying data-it requires building and optimizing the data foundation, shaping business-ready datasets, and delivering clear, executive-ready reporting and visualization solutions.
Key Responsibilities:
– Analyze and integrate data across multiple applications, source systems, and business domains.
– Design, build, and maintain scalable data pipelines and transformation logic to support analytics and reporting needs.
– Develop advanced SQL queries, analytical models, and reconciliation logic to investigate, validate, and unify complex datasets.
– Use Databricks to engineer, transform, optimize, and operationalize large-scale datasets for analytical consumption.
– Build curated, business-ready datasets that serve as trusted sources for analysis, executive reporting, and self-service consumption.
– Develop and maintain Power BI dashboards and reports that translate complex data into clear, actionable insights for business and executive stakeholders.
– Own analytics solutions end to end, from raw data ingestion and transformation through semantic logic, reporting, visualization, and insight generation.
– Transform fragmented and complex data into clear, business-relevant stories and recommendations.
– Identify relationships between customers, products, locations, revenue, operational activity, and business performance.
– Partner with business stakeholders to understand objectives, define KPIs and metrics, and solve challenging business problems.
– Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes in partnership with upstream and downstream teams.
– Ensure data lineage, business logic, and transformation rules are documented, scalable, and maintainable.
– Improve performance, reliability, and usability of analytical workflows using modern engineering and BI best practices.
– Continuously expand business, source system, platform, and reporting knowledge to accelerate problem-solving and improve analytical effectiveness.
Required Skills:
– Strong SQL development and data analysis experience.
– Strong hands-on experience with Databricks for large-scale data processing, transformation, and analytics.
– Experience designing and maintaining data pipelines, transformation workflows, and curated analytical datasets.
– Strong experience with Power BI (PBI) for dashboard development, data modeling, visualization, and business reporting.
– Strong understanding of data engineering concepts, including data lineage, data quality, transformation logic, and scalable data modeling.
– Experience working with large and complex datasets across multiple systems.
– Strong problem-solving and analytical skills.
– Ability to investigate and reconcile data across multiple platforms and source systems.
– Experience supporting end-to-end analytics, from raw data ingestion to reporting, dashboarding, and insight generation.
– Excellent communication and stakeholder management skills.
– Ability to translate business questions into technical, analytical, and reporting solutions.
Preferred:
– Experience with Snowflake, Python, Spark, Terraform, or enterprise data warehouse environments.
– Experience with modern cloud-based analytics platforms and data engineering frameworks.
– Knowledge of telecommunications, customer, revenue, operational, or financial data domains.
– Experience working with cross-functional teams in a fast-paced environment.
– Familiarity with KPI governance, executive reporting, and semantic layer design.
Please send over candidates who meet the following requirements. Upon submission,
Please see below required information upon submittal:
Resume
Availability for an intro call via Google meet with me:
Attach DL
Educational details: Degree, couse, University and Year graduated
First Legal Name:
Middle Legal Name:
Last Legal Name:
Hourly Pay Rate:
C2C Shop Name:
Eligibility Status (US Citizen/GC):
Availability to Interview:
Willing to F2F Interview (Y/N):
Availability to Start:
Residence (City/State):
Email:
Phone:
Birthday (Month/Day only):
LinkedIn Link:
Kind Regards,
Deep Patel
Sr. Technical Recruiter
ZealHire Inc.
14 Wall Street 20th Floor | New York, NY 10005
