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Data Analyst Powerbi Developer Jobs in Alaska (NOW HIRING)

Data Analyst

Anchorage, AK ยท On-site

$1.5K - $2.0K/yr

Strong proficiency in R and SAS programming languages. Preferred Qualifications: * Experience in the agriculture industry or related fields. * Familiarity with advanced data analysis techniques and ...

Required Skills & Experience * 8+ years of hands-on experience in data analytics or engineering . * Proven experience with: * Snowflake data warehouse - schema design, SQL, data pipeline optimization.

Digital Analyst Internships

Anchorage, AK ยท On-site

$100K - $119K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Juneau, AK ยท On-site

$104K - $123K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Fairbanks, AK ยท On-site

$98K - $116K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

... data-driven decision-making and advancing the organization's analytics capabilities. Required Experience and Skills: * Bachelor's Degree or higher * Deep understanding of and experience with PowerBI

Data Analytics Engineer I (Future Opening)

Anchorage, AK ยท On-site

$118K - $142K/yr

GCI's Data Analytics Engineer I will be responsible for designing, developing, and maintaining interactive dashboards and reports that support data driven decision making within the organization.

$100/hr

Stay current with best practices in data engineering, analytics, and the Microsoft Fabric ecosystem. * Write Python scripts and Jupyter notebooks for data extraction, transformation, and automation ...

BVT Analyst

Anchorage, AK ยท On-site

$10K - $200K/yr

Familiarity with programming languages such as Python or R for data manipulation. * Prior ... Analyze data and business processes to identify inconsistencies, risks, and areas for improvement.

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Data Analyst Powerbi Developer information

How do Data Analyst Power BI Developers typically collaborate with business stakeholders to deliver actionable insights?

Data Analyst Power BI Developers work closely with business stakeholders to understand their data needs and translate them into effective dashboards and reports. This often involves regular meetings to gather requirements, iterative feedback sessions to refine visualizations, and ongoing communication to ensure that the delivered insights align with business goals. Collaboration is key, as developers must bridge the gap between technical data modeling and user-friendly, impactful reporting. Building strong relationships with stakeholders helps ensure that solutions are both technically sound and practically useful for decision-making.

What is a Data Analyst Power BI Developer?

A Data Analyst Power BI Developer is a professional who specializes in analyzing data and creating interactive dashboards and reports using Microsoft Power BI. They collect, process, and interpret large datasets to help organizations make data-driven decisions. Their responsibilities often include data modeling, transforming raw data into meaningful insights, and ensuring that data visualizations are both accurate and user-friendly. They work closely with business stakeholders to understand their needs and deliver solutions that support business objectives.

What are the key skills and qualifications needed to thrive as a Data Analyst Power BI Developer, and why are they important?

To thrive as a Data Analyst Power BI Developer, you need strong analytical skills, proficiency in data modeling, and a solid understanding of statistics, typically supported by a degree in a quantitative field. Familiarity with Power BI, SQL, DAX, and other data visualization or ETL tools, as well as relevant certifications like Microsoft Certified: Data Analyst Associate, is highly valued. Attention to detail, problem-solving abilities, and effective communication help distinguish top performers in this role. These skills are crucial for transforming raw data into actionable insights that drive informed business decisions.

What is the difference between Data Analyst Powerbi Developer vs Data Analyst?

AspectData AnalystPowerbi Developer
Primary RoleAnalyzes data to generate reports and insightsDesigns and develops Power BI dashboards and reports
Skills & CertificationsExcel, SQL, data visualization, basic BI toolsPower BI, DAX, data modeling, SQL, certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentBusiness intelligence teams, data departmentsBI teams, data visualization departments
Industry UsageAcross various industries for data analysisPrimarily in organizations using Power BI for reporting

While both roles involve working with data, a Data Analyst focuses on analyzing data and generating insights, whereas a Powerbi Developer specializes in creating interactive dashboards and reports using Power BI. The Powerbi Developer often requires advanced skills in Power BI tools and DAX, making their role more technical in report development.

What are popular job titles related to Data Analyst Powerbi Developer jobs in Alaska? For Data Analyst Powerbi Developer jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Data Analyst Powerbi Developer jobs in Alaska look for? The top searched job categories for Data Analyst Powerbi Developer jobs in Alaska are:
What cities in Alaska are hiring for Data Analyst Powerbi Developer jobs? Cities in Alaska with the most Data Analyst Powerbi Developer job openings:

$1.5K - $2.0K/yr

Full-time

Re-posted 13 days ago


Job description

About the Role:

The Data Analyst will play a crucial role in transforming raw agricultural data into actionable insights that drive decision-making and improve operational efficiency. This position involves analyzing complex datasets to identify trends, patterns, and anomalies that can inform strategic initiatives within the agriculture sector. The successful candidate will collaborate with cross-functional teams to ensure data integrity and accuracy, enabling the organization to leverage data for enhanced productivity and sustainability. Additionally, the Data Analyst will be responsible for creating compelling visualizations and reports that communicate findings to stakeholders at all levels. Ultimately, this role is essential for fostering a data-driven culture within the organization and supporting its mission to innovate in the agricultural industry.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Agriculture, or a related field.
  • Proven experience in data analysis and data visualization tools such as Power BI and Tableau.
  • Strong proficiency in R and SAS programming languages.

Preferred Qualifications:

  • Experience in the agriculture industry or related fields.
  • Familiarity with advanced data analysis techniques and machine learning algorithms.
  • Knowledge of database management systems and SQL.

Responsibilities:

  • Collect, clean, and preprocess agricultural data from various sources to ensure high-quality datasets.
  • Utilize statistical tools and programming languages such as R and SAS to perform data analysis and generate insights.
  • Create and maintain interactive dashboards and visualizations using Power BI and Tableau to present data findings to stakeholders.
  • Collaborate with agronomists and other team members to understand data requirements and provide analytical support for ongoing projects.
  • Conduct regular data audits and implement data cleansing processes to maintain data accuracy and reliability.

Skills:

The required skills in data cleaning and data extraction are essential for ensuring that the datasets used for analysis are accurate and reliable. Proficiency in pivot tables and data visualization tools like Power BI and Tableau allows the Data Analyst to create insightful reports that effectively communicate findings to stakeholders. The use of R and SAS programming languages is critical for performing complex statistical analyses and modeling. Daily work will involve collaborating with team members to understand their data needs, which requires strong communication and problem-solving skills. Preferred skills, such as familiarity with machine learning algorithms, can enhance the analyst's ability to derive deeper insights and contribute to innovative projects.