Okay, I've searched for Telecom Data Analyst positions in Plano, TX with hybrid work modes, requiring a Bachelor's degree and 2-4 years of experience. I have found 57 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Telecom - Data Analyst 2 role is fundamentally designed to harness data as a strategic asset for driving informed decision-making within a telecom context. This position requires a blend of technical data skills and business-oriented communication capabilities to create scalable analytics infrastructure and streamline reporting processes. The key responsibilities reveal a dual focus: first, on developing and maintaining large-scale data systems that enable reliable data ingestion, cleansing, and validation; second, on establishing governance policies that ensure data integrity across multiple organizational units. A successful candidate must be comfortable with both autonomous work, given the minimal supervision noted, and collaborative engagement with internal stakeholders to align analytics efforts with business needs. The requirement for process improvement certifications like Six Sigma suggests that the role involves optimizing workflows and eliminating inefficiencies, which is critical in telecom environments where data volumes are high and accuracy is paramount. The ability to present findings clearly also indicates that the analyst will frequently translate complex data insights into actionable recommendations, serving as a bridge between technical teams and business leaders. Success in this role would be measured by the accuracy, timeliness, and usability of generated reports and dashboards, along with the smooth functioning of the underlying data infrastructure that supports continuous business insights.

Company Analysis:

Dice operates as a specialized technology career platform focused on connecting tech professionals with relevant job opportunities. Instead of being a direct employer of tech teams, Dice serves as an intermediary supporting candidates and clients across the tech recruitment lifecycle. This places the Telecom - Data Analyst 2 role squarely within a client-focused, contract-based framework (specifically for Mitchell Martin, Inc.), indicating a high degree of flexibility but likely requiring adaptability to varying organizational cultures and workflows. Dice’s emphasis on continuous career development and industry insights suggests a dynamic, learning-oriented culture supporting professionals in evolving their skills. For a candidate, this means the ability to stay current with telecom data trends and tools is crucial. Since this is a contract position with hybrid location flexibility, it implies an environment that values independence but also collaborative communication when needed. The role’s strategic alignment likely centers on enhancing client capabilities to leverage data effectively in a telecom environment, contributing directly to their operational efficiency and decision-making quality, which reflects Dice’s broader mission to empower tech careers through curated job matches and relevant skill development.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to develop a standardized reporting process from scratch. What challenges did you face, and how did you overcome them?
• Behavioral: Describe an instance where you collaborated with multiple teams to implement data governance policies. How did you ensure alignment and compliance?
• Behavioral: Can you share a situation where you had to present complex data findings to a non-technical audience? How did you tailor your communication?
• Behavioral: Give an example of when you worked independently on a project with minimal direction. How did you manage priorities and ensure success?
• Technical: How would you approach designing and maintaining a large-scale data infrastructure to support telecom analytics needs?
• Technical: Explain how you would automate the data ingestion to dashboard generation process. What tools or methodologies would you use?
• Technical: What experience do you have with data validation and cleansing at scale, and why is it critical in the telecom sector?
• Technical: Discuss your familiarity with process improvement certifications like Six Sigma and how you have applied those principles to data workflows.
• Situational: Imagine you discover inconsistencies in key metrics reported by different telecom teams. How would you investigate and resolve these discrepancies?
• Situational: If asked to implement governance policies across multiple departments that resist change, how would you encourage adoption and compliance?
• Situational: Suppose automation of a reporting process fails unexpectedly just before an important presentation. What immediate steps would you take?
• Company Fit: Why are you interested in working through Dice for this telecom data analyst opportunity rather than directly with a telecom company?
• Company Fit: How do you believe Dice's commitment to continuous career development aligns with your professional growth aspirations?
• Company Fit: Given Dice’s role as a facilitator in tech hiring, how would you leverage their resources to stay at the forefront of telecom data analysis?
• Questions to Ask Interviewer: Can you describe the specific telecom client environments or projects this role will focus on?
• Questions to Ask Interviewer: What tools and technologies are currently being used for data management and reporting within the client’s telecom teams?
• Questions to Ask Interviewer: How does this contract role interface with permanent teams, and what opportunities exist for knowledge sharing and professional development?