Data Analytics Engineer I

Jobright.ai; California (MO); On-site; USD 100,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A telecommunications company is seeking a Data Analytics Engineer I to create and maintain dashboards and analytical reports. The role emphasizes collaboration with cross-functional teams to enhance data-driven decision-making and improve operational efficiency. Candidates must have a Bachelor's degree in relevant fields along with proficiency in SQL, Python, and data visualization tools. Ideal for entry-level professionals eager to contribute to data initiatives in a dynamic telecom environment.

Qualifications

• High School diploma or equivalent.
• Minimum of one (1) year of experience in data engineering or analytics engineering.
• Familiarity with telecommunications systems and data types.

Responsibilities

• Develop and implement data models and analytical solutions.
• Collaborate with business units to understand analytical needs.
• Design and maintain robust data pipelines.

Skills

SQL

Python

R

Data Visualization

ETL Process

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, Telecommunications

Tools

Tableau

Power BI

Spark

Job description

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Job Summary:

GCI is a telecommunications company seeking a Data Analytics Engineer I to design, develop, and maintain interactive dashboards and reports that support data-driven decision-making. The role combines data engineering and analytics engineering, collaborating with cross-functional teams to ensure data quality and provide advanced analytics solutions to enhance network performance and operational efficiency.

Responsibilities:

• Develop and implement data models, algorithms, and analytical solutions to derive insights from large datasets, including network performance analysis, customer behavior modeling, churn prediction, and operational optimization.

• Implement AI driven workflows against data within analytical projects. Create automated reporting and visualization tools (e.g., dashboards, KPI reports) to communicate insights to stakeholders and drive data-informed decision-making.

• Collaborate with business units to understand analytical needs and translate them into actionable data solutions.

• Design, develop, and maintain robust data pipelines that efficiently collect, process, and transform data from various telecommunications sources (e.g., network performance, customer usage data, call data records, billing systems).

• Implement and manage ETL (Extract, Transform, Load) processes to ensure seamless integration of data from multiple systems into a centralized data warehouse or data lake.

• Ensure data quality and integrity by identifying, resolving, and preventing data discrepancies and errors.

• Optimize and streamline data storage and retrieval processes to support real-time and batch data analysis needs.

• Work closely with data scientists, business analysts, and IT teams to design and implement visualizations that provide meaningful insights.

• Provide technical guidance and support to junior team members and other departments in data-related initiatives.

• Stay up to date with the latest trends and technologies in data engineering, analytics, and telecommunications.

• Identify opportunities to improve existing data systems, pipelines, and analytics models to drive greater efficiency and business impact.

• Contribute to the development and adoption of new data technologies, methodologies, and best practices within the organization.

• Assist in the collection, processing, and cleaning of raw data from various sources (e.g., network performance, customer usage data, billing systems).

• Develop and maintain dashboards and reports.

• Write basic SQL queries to query and extract data for analysis.

• Assist senior team members with data preparation tasks, including data validation and transformation.

• Conduct basic exploratory data analysis (EDA) and assist in visualizing data for team reports.

• Document data processes and workflows to maintain clarity on pipeline structures and operational processes.

Qualifications:

Required:

• A combination of relevant work experience and/or education sufficient to perform the duties of the job may substitute to meet the total years required on a year-for-year basis

• High School diploma or equivalent

• Bachelor’s degree in Computer Science, Data Science, Engineering, Telecommunications, or a related field

• Minimum of one (1) year of experience in data engineering, analytics engineering, or a related role in the telecommunications industry

• Proficiency in SQL, Python, and R for data manipulation and analytics

• Experience with big data technologies (e.g., Spark, Databricks) and cloud platforms (AWS, Azure, Google Cloud)

• Proficient with data visualization tools (e.g., Tableau, Power BI)

• Knowledge of machine learning algorithms and statistical analysis techniques

• Familiarity with telecommunications systems and related data types (e.g., network performance metrics, call data records)

Preferred:

• Advanced degree (Master’s or PhD) in Data Science, Machine Learning, or a related field

• Familiarity with network optimization, customer experience analysis, or predictive analytics in telecommunications

• Other telecom industry or job specific certifications

Company:

GCI is a brand strategy agency providing media, audiovisual content, and social networking services. Founded in 1994, the company is headquartered in Elvas, Portalegre, PRT, with a team of 11-50 employees. The company is currently Early Stage. GCI has a track record of offering H1B sponsorships.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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