Sql data analyst • boise id
The Technical Data Analyst is responsible formaintaining investment data for clients.This role involves tasks such as analyzing and organizing raw data,.Additionally, the analyst collaborates with ...Show more
Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho.We are a true farm-to-table company with an integrated portfolio including food proces...Show more
Job Opportunity at Albertsons Companies.Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go han...Show more
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Econometric Data Analyst (Stata SE).AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM cap...Show more
As a Senior SQL Engineer, you will work remotely on an hourly paid basis to review AI-generated SQL queries, database designs, and data-processing logic, as well as generate high-quality reference ...Show more
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Location: 11311 W Chinden Blvd Boise, ID 83714 Duration: 12+ Months.Job Description: The Business Analyst will be responsible for software implementation and upgrade projects.Show more
Yardley, PA / Madison, WI / Boise ID in that preference order.This is a hybrid 3 day per week onsite.Salesforce skills are required.We are looking for a detail-oriented and collaborative Contract A...Show more
Promotion Potential: The selectee may be promoted to the full performance level without further competition when all regulatory, qualification, and performance requirements are met.Selection at a l...Show more
The Reconciliation Analyst is responsible for comparing investment portfolio data from external sources with an advanced web-based system.Their primary responsibility is to guarantee the prompt and...Show more
As a Senior SQL Engineer, you will work remotely on an hourly paid basis to review AI-generated SQL queries, database designs, and data-processing logic, as well as generate high-quality reference ...Show more
Responsible for providing cross-functional financial support to the organization.Lead enterprise-wide monthly reporting analysis including global P&L consolidation review, variance analysis, KPI an...Show more
Econometric Data Analyst (Stata SE).AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM cap...Show more
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Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand!.At Albertsons Companies, we a...Show more
The Reconciliation Analyst is responsible for comparing investment portfolio data from external sources with an advanced web-based system.Their primary responsibility is to guarantee the prompt and...Show more
Implementation Analysts are responsible for aiding the onboarding process for new clients onto the company's SaaS platform and service model.They collaborate with both clients and various Clearwate...Show more
The position serves as a Budget Analyst for the Research and Development (R&D) Service providing budgetary planning and fiscal management, coordinating Managerial Cost Accounting activities, and le...Show more
The average salary range is between $ 77,499 and $ 126,740 year , with the average salary hovering around $ 97,399 year .
Job Summary:
The Technical Data Analyst is responsible formaintaining investment data for clients. This role involves tasks such as analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. Additionally, the analyst collaborates with clients and project management teams to grasp customer and company needs. This role requires the ability to merge data from various sources and present it in alignment with customer/company requirements, while also striving to improve data quality and reliability.
Responsibilities:
Utilize your analytical expertise to decipher and organize raw data, transforming it into valuable insights.
Build efficient and robust data systems and pipelines, ensuring seamless data flow.
Dive into complex data sets, conducting thorough analysis and delivering insightful reports on outcomes.
Showcase your findings using cutting-edge data visualization techniques, making data come to life.
Harness the power of multiple data sources, combining raw information into comprehensive and actionable insights.
Continuously explore innovative methods to improve data quality and reliability, contributing to the highest standards.
Develop and implement analytical tools and programs that empower teams to make data-driven decisions.
Collaborate closely with system architects and product development teams, fostering an environment of innovation and excellence.
Required Skills:
Deep understanding of investment data.
Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).
Understanding of database design and data warehouse principles.
Knowledge of one or more programming languages (e.g. Java, Python, VBA).
Proficiency in data manipulation and data cleansing techniques.
Knowledge of data governance and best practices in data management.
Continuous improvement mindset for self and team.
Ability to work collaboratively in a cross-functional team environment.
Ability to work with large datasets and perform data mining tasks.
Strong computer skills, including proficiency in Microsoft Office.
Excellent attention to detail and strong documentation skills.
Outstanding verbal and written communication skills.
Strong organizational and interpersonal skills.
Exceptional problem-solving abilities.
Education and Experience:
Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline.
5+ years of relevant experience in data analytics, reporting, and visualization.
Hands-on experience with SQL and NoSQL databases.
Experience with data integration and exchange, transfer, load processes.
Experience with data visualization tools such as Tableau, Power BI, or D3.js.
