Job Title : Data Analytics SME
Location: Basking Ridge, NJ ( (Onsite)
Duration/Term: Long Term Contract

Job Summary:

The Data Analytics SME is responsible for delivering advanced data insights, developing analytical solutions, and guiding cross-functional teams to leverage data for decision-making. The role involves working closely with business leaders, data scientists, and data engineers to ensure high-quality data solutions that align with organizational goals and add measurable value.

Key Responsibilities:

• Data Analysis and Insights: Analyze complex datasets to generate actionable insights for decision-making; identify trends, patterns, and opportunities to drive business improvements; perform exploratory data analysis and build predictive models as necessary.
• Technical Expertise: Serve as a subject matter expert on analytical tools, methodologies, and best practices; guide and advise on the development of analytics models and frameworks; implement and optimize machine learning models where relevant.
• Solution Development: Design and implement data solutions tailored to business needs; work with data engineering teams to ensure data integrity and reliability; provide end-to-end support, from data extraction to visualization.
• Stakeholder Collaboration: Collaborate with business leaders to understand objectives and KPIs; translate business questions into technical specifications for data scientists and analysts; present findings and recommendations to stakeholders in a clear and impactful manner.
• Mentoring and Knowledge Sharing: Mentor and train junior data analysts and data scientists; share best practices, trends, and insights in data analytics with team members; develop and maintain documentation for analytics processes and solutions.
• Project Management: Lead and manage analytics projects, ensuring timely and effective delivery; define project scope, timelines, and resource requirements for analytics initiatives; monitor progress, resolve challenges, and communicate status to stakeholders.

Qualifications:

• Education: Bachelor s or Master s degree in Data Science, Statistics, Computer Science, or a related field.
• Experience:
  • 7+ years of experience in data analytics, with a proven record of translating data into meaningful insights.
  • 3+ years of experience in data analytics for telecom environment for network performance data.
  • Expertise in analytical tools such as SQL, Python, R, and data visualization platforms (e.g., Tableau, Power BI).
  • Experience with large datasets and data warehousing technologies.

Skills:

• Strong analytical and problem-solving skills.
• Proficiency in statistical analysis, machine learning, and data mining techniques.
• Excellent communication skills with the ability to convey complex insights to non-technical audiences.
• Project management experience is a plus.

Key Skills: Data Analysis, Predictive Modeling, SQL, Python, R, Data Visualization (Tableau, Power BI), Machine Learning, Statistical Analysis, Data Mining, Telecom Network Performance Analytics, Data Warehousing, Cross-functional Collaboration, Project Management, Communication Skills, Mentorship, Data Integrity, Process Documentation.