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Data Analyst Python Sql Jobs in Alaska (NOW HIRING)

BVT Analyst

Anchorage, AK ยท On-site

$10K - $200K/yr

Proficiency in using data analysis tools such as Excel, SQL, or similar software. * Excellent ... Familiarity with programming languages such as Python or R for data manipulation. * Prior ...

By leveraging tools such as Power BI and SQL, the analyst ensures data integrity and performance ... Experience with open source languages such as R or Python. * Deep Experience with the Microsoft ...

ANALYST

Anchorage, AK ยท On-site

$30K - $60K/yr

Experience with statistical software such as SPSS, R, or Python. * Familiarity with qualitative research methods. Responsibilities: * Conduct comprehensive data analysis to evaluate the effectiveness ...

ANALYST

Anchorage, AK ยท On-site

$30K - $60K/yr

Experience with statistical software such as SPSS, R, or Python. * Familiarity with qualitative research methods. Responsibilities: * Conduct comprehensive data analysis to evaluate the effectiveness ...

ANALYST

Anchorage, AK ยท On-site

$30K - $60K/yr

Experience with statistical software such as SPSS, R, or Python. * Familiarity with qualitative research methods. Responsibilities: * Conduct comprehensive data analysis to evaluate the effectiveness ...

Senior Engineer - LLMOps & MLOps

Minto, AK ยท On-site +1

$108K - $148K/yr

Build the engineering "pipes" to securely ingest and move data from legacy systems (Mainframes, SQL ... Advanced Analytics Integration: Partner with teams using platforms like Palantir, Databricks, or ...

Senior Engineer - LLMOps & MLOps

Minto, AK ยท On-site +1

$108K - $148K/yr

Build the engineering "pipes" to securely ingest and move data from legacy systems (Mainframes, SQL ... Advanced Analytics Integration: Partner with teams using platforms like Palantir, Databricks, or ...

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Data Analyst Python Sql information

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Alaska? For Data Analyst Python Sql jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Alaska look for? The top searched job categories for Data Analyst Python Sql jobs in Alaska are:
Data Quality Analyst

Data Quality Analyst

Bristol Bay Native Corporation

Anchorage, AK โ€ข On-site

Full-time

Re-posted 11 days ago


Job description

Description
The Data Quality Analyst is responsible for ensuring the accuracy, integrity, and consistency of shareholder data within the organization's database systems. This role focuses on auditing, cleaning, and maintaining shareholder records, ensuring data reliability for reporting, compliance, and stakeholder engagement. The position works closely with internal teams to improve data quality processes and prevent recurring issues.
Key Responsibilities
Data Cleanup & Maintenance
- Review, audit, and clean shareholder records within database systems
- Identify and correct duplicate, incomplete, or inaccurate shareholder data
- Standardize naming conventions, contact information, and record structures
Data Quality Management
- Develop and maintain data quality standards specific to shareholder records
- Monitor ongoing data integrity and proactively identify discrepancies
- Document data definitions, processes, and data handling procedures
Analysis & Issue Resolution
- Investigate root causes of data inconsistencies and errors
- Partner with internal stakeholders to correct data at the source
- Recommend process improvements to prevent recurring data issues
System & Process Support
- Support data migrations, system updates, and integrations with a focus on data accuracy
- Assist in implementing validation rules and automated data checks
- Collaborate with IT or system administrators as needed or outside vendors as needed
Reporting Support
- Ensure shareholder data is structured for accurate reporting and communication
- Validate reports, lists, and outputs used for shareholder engagement and compliance
Requirements
Education & Experience
- Bachelor's degree in Business, Information Systems, Data Analytics, or related field (or equivalent experience)
- 2-5 years of experience in data management, database administration, or data analysis
Technical Skills
- Proficiency in Excel and data tools (e.g., SQL preferred)
- Proficiency in MicroSoft Dynamics, MicroSoft CRM, and Sharepoint
- Experience working with databases, CRM systems, or shareholder management systems
- Understanding of data structures and validation techniques
Core Competencies
- Strong attention to detail and commitment to data accuracy
- Analytical and problem-solving skills
- Ability to work independently and manage multiple priorities
- Effective communication and collaboration skills
Preferred Qualifications
Experience working with shareholder, investor, or membership databases
- Familiarity with data governance and compliance requirements
- Experience supporting reporting, audits, or regulatory processes
Physical Demands
- Primarily office or remote work environment
- May require periodic support during system updates or data projects
Disclaimer(s)
BBNC aspires to provide benefits to its shareholders by creating employment opportunities for BBNC's shareholders and their families. Therefore, in accordance with ANCSA and other Federal laws, BBNC grants an employment preference to BBNC shareholders, their spouses and their descendants who meet the qualifications of the position. Specific questions regarding this policy may be directed to the Shareholder Development or Human Resources Departments. For purposes of this section, "descendants" includes adopted children and foster children in the immediate household of a BBNC shareholder.