6 дней назад
Senior Data Analyst (Telecommunications)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Telecommunications): Building scalable datasets, reports, dashboards, and analytical solutions for finance, billing, audit, and business optimization with an accent on SQL, Python, BigQuery, data quality, and cloud analytics. Focus on integrating complex financial and billing data, optimizing analytical models and pipelines, and delivering executive-ready insights from trends, anomalies, and reconciled datasets.
Location: 1120 S Tryon St, Charlotte, NC, United States. Primarily office-based or remote office environment with participation in virtual and in-person meetings. prioritizes hiring talent in the Charlotte area and operates a hybrid workforce.
Company
provides high-speed fiber internet and customer connectivity services across twenty states in the Midwest and South, with a focus on expanding reliable broadband access in rural markets.
What you will do
- Partner with finance, billing, audit, process excellence, and business optimization stakeholders to define data requirements and analytical solutions.
- Extract, integrate, validate, and analyze financial, statistical, billing, and other enterprise data sources.
- Develop and optimize SQL queries, data pipelines, analytical models, scalable datasets, feature stores, and reusable analytical assets using BigQuery, Python, and related technologies.
- Build and maintain recurring and ad hoc reports, dashboards, and visualizations for business and executive decision-making.
- Reconcile data across systems, identify data quality issues, and resolve discrepancies with stakeholders.
- Support data engineering, reporting, data warehouse, and data mart migration initiatives while improving analytics processes.
Requirements
- Bachelor’s degree in computer science, accounting, finance, business analytics, mathematics, statistics, information systems, or a related field.
- At least 7 years of experience developing scalable datasets, reporting solutions, and analytical insights in a business environment.
- At least 5 years of experience with cloud-based data platforms, preferably Google Cloud Platform, and large-scale data warehouses, data lakes, or lakehouses.
- Strong SQL and Python skills, with advanced experience using Google BigQuery or comparable analytical databases.
- Experience with relational database design, data modeling, query optimization, APIs, ETL/ELT, data integration, reporting, and dashboards.
- Strong analytical, communication, collaboration, data quality, and problem-solving skills, including the ability to explain technical findings to executive audiences.
Nice to have
- Telecommunications industry experience, including telecom billing systems.
- Experience with SAP S/4HANA Finance, BRIM, RAR, other SAP or ERP systems, and data governance frameworks.
- Experience with Tableau, Looker, Power BI, enterprise reporting, financial analytics, or executive dashboards.
- Professional certifications in Google Cloud Platform, data analytics, or related technologies.
- Advanced degree in a related field.
Culture & Benefits
- Contemporary ways of working with roles designated as remote, hybrid, office, or field-based according to position and business needs.
- Technology-enabled collaboration across geographically dispersed teams.
- Medical, dental, vision, and life insurance.
- Employee assistance program, 401(k) plan with company match, voluntary benefits, and paid time off.
- Commitment to inclusion, belonging, and equal employment opportunity.
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