Pyramid Technology Solutions is hiring: Sr. Data Analyst – Communications Indu

Position: Data Analyst

Duration: 6-month contract with potential extension up to 18 months

Location: Charlotte, NC - Prefer local candidates (onsite presence may be required).

Job Summary

We are seeking an experienced Data Analyst with a strong background in the communications industry to join our team supporting. The ideal candidate will have 10+ years of experience in data analytics, with expertise in interpreting complex datasets, creating insightful visualizations, and collaborating with cross-functional teams to drive data-informed decisions.

Key Responsibilities

• Analyze, interpret, and visualize large datasets to identify trends, patterns, and insights relevant to the communications industry.
• Design and develop data models and dashboards using tools such as Tableau, Power BI, or similar visualization platforms.
• Work closely with stakeholders to understand business needs, define requirements, and deliver actionable insights.
• Support data-driven decision-making by developing predictive and prescriptive analytics models.
• Cleanse, organize, and maintain data integrity to ensure accuracy and reliability of reports.
• Document analytics processes and methodologies, ensuring they align with industry best practices.
• Collaborate with engineering teams to optimize data pipelines and infrastructure.
• Present findings and recommendations to technical and non-technical audiences, including executives.

Qualifications

• 10+ years of data analytics experience, preferably in the communications or telecommunications industry.
• Proficiency in SQL for data extraction, manipulation, and querying large datasets.
• Experience with data visualization tools such as Tableau, Power BI, or QlikView.
• Familiarity with programming languages like Python or R for advanced data analysis.
• Solid understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
• Strong knowledge of statistical methods and techniques.
• Ability to interpret and present complex data to diverse stakeholders effectively.
• Proven experience in working with CRM, billing, or customer service data is a plus.
• Bachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field. Advanced degree preferred.

Preferred Skills

• Previous experience working with data from cable, internet, or other communications services.
• Understanding of telecommunications KPIs, such as churn rates, ARPU (Average Revenue Per User), or network performance metrics.
• Experience with ETL processes and tools.
• Knowledge of big data technologies like Hadoop, Spark, or Kafka is a plus.