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Afternoon Data Analyst R Programming Jobs in Conroe, TX

Gunvor

BI Data Analyst

Houston, TX · On-site

Work closely with thedata architect and data engineering team to design anddeliveranalytics-readydatasets through data ingestion, cleansing, and transformation. * Document analytical logic, data ...

Gridmatic Inc

Senior Data Analyst

Houston, TX · Hybrid

$82K - $103K/yr

Engineering liaison & data modeling: Translate operations needs into engineering requirements; help shape how our pricing/contracting system models productsand customers. * Data modeling ...

Gridmatic

Senior Data Analyst

Houston, TX · Hybrid

$82K - $103K/yr

Engineering liaison & data modeling: Translate operations needs into engineering requirements; help shape how our pricing/contracting system models productsand customers. * Data modeling ...

Varsity Tutors

Data Science Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Pwc

Data Strategy-Manager

Houston, TX

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Insperity

Senior Data and Product Analyst

Houston, TX · On-site

$82K - $98K/yr

Advanced expertise in Salesforce administration, CRM design, SQL, and Python or R, with experience ... Analyze complex, multi-source data to generate actionable insights and executive-ready reports and ...

New

CEDENT

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Perform root cause analysis on external and internal processes and data to identify opportunity for ... Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Conroe, TX

Afternoon Data Analyst R Programming information

See Conroe, TX salary details

$29.1K

$70.8K

$116.4K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 20, 2026, the average yearly pay for afternoon data analyst r programming in Conroe, TX is $70,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $83,000.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Conroe, TX?

For Afternoon Data Analyst R Programming jobs in Conroe, TX, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Conroe, TX look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Conroe, TX are:

What cities near Conroe, TX are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Conroe, TX with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Conroe, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $70,751 per year, or $34 per hour.

BI Data Analyst

Gunvor

Houston, TX • On-site

Full-time

Re-posted 10 days ago

Job description

Job Title:

BI Data Analyst

Contract Type:

Permanent

Time Type:

Full time

Job Description:

Scope of the role

Reporting to the Global IT Project Manager, theBI Data Analyst is responsible for designing, delivering, and supporting enterprise-grade business intelligence and analytics solutions using Microsoft Power BI and the Power Platform, with astrong focus on supporting commodity trading (e.g. oil, metal, gas, power, LNG, derivatives), shipping and trade lifecycle activities (e.g. operation, risk management, contract, settlement, letter of credit, etc.). The role is critical for translating trading-specific data insights into actionable business decisions.

The role acts as asubject-matter expert (SME) for Power BI while also possessingstrong business analysis capabilities, enabling data-driven decision-making through high-quality dashboards, governed datasets, automation, and strong stakeholder engagement.

Main Responsibilities

Strategic Collaboration & Business Alignment

  • Partner with business users, senior management, and IT stakeholders to understand analytical needs and translate them into actionable BI solutions.
  • Work closely with commodity traders, risk managers, and business teams to ensure that the analytical solutions are aligned withmarket, trading and operation activities.
  • Gather, document, and validate business requirements; recommend analytical approaches aligned with business objectives.
  • Translatecomplexcommoditytrading business problems into technical designs that deliver clear insights and measurable business value.
  • Proactively engage with senior business stakeholders to identify areas of improvement in trading and shipping operations and support business development through data-driven insights.

Innovation & Product Development

  • Design, develop, and maintain Power BI datasets, reports, and dashboards to meet evolving business requirements.
  • Build anddeliverend-to-endanalytical and automation solutions usingPower BI, Power Apps, Power Automate, andAI Builder tailored to thecommodity trading and shipping business.
  • Build solution prototypes where needed to validate concepts and accelerate delivery.
  • Work closely with thedata architect and data engineering team to design anddeliveranalytics-readydatasets through data ingestion, cleansing, and transformation.
  • Document analytical logic, data models, and datasets to support advanced analytics and future enhancements

BI Adoption & Enablement

  • Act as thego-to expert for Power BI and data analytics-related user queries within thecommodity trading and shipping domain.
  • Conduct Power BIend-user training sessions and provide ongoing guidance and best-practice support.
  • PromoteeffectiveBI usage patterns and self-service analytics across the organization
  • Advocate for the importance ofdata governance and business rules specific to commodity trading and shipping to enhance theaccuracy and timeliness of trading decisions.

Operational Excellence

  • EnforceBI governance standards and best practices to maintaindata quality, consistency, and auditability, ensuring that data used in trading decisions ishighly reliable and actionable.
  • Monitor and optimize report performance and dataset refreshes to ensure stability and scalability.
  • Maintain clear technical documentation, release artifacts, and operational procedures

Profile

  • Bachelor's degree inInformation Systems, Computer Science, Data Analytics, Business Analytics, or a related field.
  • Microsoft certifications inPower BI / Power Platform / Fabric are highly preferred.
  • Strong understanding of commodity trading environments is required (oil, metal, gas, power, LNG,derivatives).In-depthknowledge of the trading lifecycle,includingmarkettrends, operation, PnL, positions,settlementsandriskmanagement, is essential.
  • Experience working withtrading data (e.g., PnL, risk, positions, settlements) andETRM systems is highly preferred.
  • Strong expertise in Microsoft Power Platform, withPower BI as a core specialization (SME level).
  • Excellent SQL skills and solid understanding ofdata modelling concepts.
  • Strongbusiness analysis skills, capable ofinterpreting trading requirements and translating them intotechnical deliverables.
  • Stronganalyticaland problem-solving skills with attention to detail.
  • Strongstakeholdermanagement skills, capable of exceeding stakeholder expectations, particularly in the context oftrading and business analysis.
  • Self-motivated, proactive, and well-organized, withstrongtime-managementskills.
  • Comfortable working under pressure in afast-paced, trading-focused environment.
  • Team player with a collaborative mindset.
  • Fluent in English (spoken and written). Any other language is an asset.

If you think the open position you see is right for you, we encourage you to apply!


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