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Assistant Data Analytics Jobs in Houston, TX (NOW HIRING)

Entegra LLP

Data Analyst III

Houston, TX · On-site

... view. * Assist Operations and Engineering to collect tool data results for RCA documentation * Assist in standardizing processes and procedures. * Assist in training data analysis personnel.

Entegra LLP

Data Analyst III

Houston, TX · On-site

... view. * Assist Operations and Engineering to collect tool data results for RCA documentation * Assist in standardizing processes and procedures. * Assist in training data analysis personnel.

Arsenault Inc

Data Analyst

Houston, TX

Define, populate, and maintain user groups and user access within analytics tools * Assist in user ... Support data validation efforts Knowledge and Experience * Experience with interactive ...

Harris County

Data & Performance Manager

Houston, TX · On-site

$72K/yr

Train, mentor, and support analysts and stakeholders across divisions by providing guidance ... Attend seminars, conference workshops, re-certification, or other training programs. Assist with ...

Harris County

Data & Performance Manager

Houston, TX · On-site

$72K/yr

Train, mentor, and support analysts and stakeholders across divisions by providing guidance ... Attend seminars, conference workshops, re-certification, or other training programs. Assist with ...

SAGIS PLLC

Data Analyst II

Houston, TX

Create queries and build visualizations using business intelligence tools (Zoho Analytics, Power BI ... Document data processes and maintain report specifications for team reference * Assist in preparing ...

McDaniel Metals LLC

Quality Data Analyst

Houston, TX · On-site

$20 - $25/hr

The Quality Data Analyst is responsible for collecting, analyzing, and reporting key quality ... Occasionally assist quality inspectors to understand processes and data sources * Validate data ...

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Assistant Data Analytics information

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What does an assistant data analyst do?

An assistant data analyst supports data collection, cleaning, and analysis to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist senior analysts with report preparation and data management tasks.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.

What are the most commonly searched types of Data Analytics jobs in Houston, TX?

The most popular types of Data Analytics jobs in Houston, TX are:

What are popular job titles related to Assistant Data Analytics jobs in Houston, TX?

For Assistant Data Analytics jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Assistant Data Analytics jobs in Houston, TX look for?

The top searched job categories for Assistant Data Analytics jobs in Houston, TX are:

What cities near Houston, TX are hiring for Assistant Data Analytics jobs?

Cities near Houston, TX with the most Assistant Data Analytics job openings:

Assistant Data Analytics jobs near you
Infographic showing various Assistant Data Analytics job openings in Houston, TX as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Reverse Logistics Data Analyst

Prime Communications

Sugar Land, TX • On-site

Full-time

Posted 3 days ago

New

Prime Communications rating

5.8

Company rating: 5.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

22nd of 30 rated technology retailers

Job description

Position Summary
The Reverse Logistics Data Analyst is responsible for analyzing, optimizing, and reporting on device return, recovery, refurbishment, and disposition processes within AT&T's supply chain network. This role leverages data analytics to improve asset recovery rates, reduce losses, streamline reverse supply chain operations, and ensure compliance with operational and financial controls.
The ideal candidate combines strong analytical expertise with operational acumen in telecommunications device lifecycle management.
Key Responsibilities
Data Analysis, Research & Reporting
  • Analyze reverse logistics data including device returns, RMA trends and trade-ins
  • Identify root causes of processing delays, loss exposure, or compliance gaps.
  • Perform variance analysis across all systems.

Process Optimization
  • Partner with Supply Chain, Retail Operations, Finance, and IT to streamline reverse logistics workflows.
  • Identify process bottlenecks and recommend automation or system enhancements.
  • Analyze carrier-related issues (e.g., shipment discrepancies, scan compliance, damage trends).

Financial & Inventory Controls
  • Monitor financial impact of returns, write-offs, credits, and vendor chargebacks.
  • Support reconciliation efforts between physical inventory and system records.
  • Assist in forecasting reverse volume trends and recovery projections.

Cross-Functional Collaboration
  • Work with distribution centers, field leadership, AR/retail teams, and vendors to resolve data discrepancies.
  • Provide executive-level reporting and insights.
  • Support strategic initiatives related to device lifecycle management and sustainability goals.

Preferred Qualifications
  • Bachelor's degree in Supply Chain, Business Analytics, Finance, Statistics, or related field.
  • 2+ years of experience in data analytics, supply chain analytics, or reverse logistics.
  • Advanced proficiency in Excel (pivot tables, Power Query, complex formulas).
  • Strong analytical, problem-solving, and root cause analysis skills.
  • Ability to translate complex datasets into actionable insights.
  • Experience in telecommunications or consumer electronics supply chain.
  • Knowledge of device lifecycle management and refurbishment operations.

Core Competencies
  • Data-driven decision making
  • Operational risk assessment
  • Process improvement mindset
  • Stakeholder communication
  • Attention to detail

What Prime Communications employees say

Pay

Benefits

Hours and flexibility

Workplace

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