1

Analytics Jobs in Meridian, ID (NOW HIRING)

Develop and present analyses to management (e.g., feasibility, cost/benefit studies, implementation plans). * Identify budget and capacity requirements to successfully deliver and support the ...

New

Summary As the AI and Analytics Enablement Manager, you will lead Simplot's enterprise self-service analytics, automation, and AI capabilities. As Simplot continues to modernize its business systems ...

Summary As the AI and Analytics Enablement Manager, you will lead Simplot's enterprise self-service analytics, automation, and AI capabilities. As Simplot continues to modernize its business systems ...

Showing results 21-40

Analytics information

See Meridian, ID salary details

$62.5K

$121.5K

$173.5K

How much do analytics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for analytics in Meridian, ID is $121,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $144,400.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but it is considered a lucrative career option for those with strong analytical and technical skills.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is analytics as a job?

A job in analytics involves collecting, analyzing, and interpreting data to help organizations make informed decisions. Analysts use tools like Excel, SQL, and data visualization software to identify trends and insights. Strong problem-solving skills and attention to detail are essential for success in this role.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

What are the most commonly searched types of Analytics jobs in Meridian, ID? The most popular types of Analytics jobs in Meridian, ID are:
What job categories do people searching Analytics jobs in Meridian, ID look for? The top searched job categories for Analytics jobs in Meridian, ID are:
What cities near Meridian, ID are hiring for Analytics jobs? Cities near Meridian, ID with the most Analytics job openings:
Infographic showing various Analytics job openings in Meridian, ID as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,494 per year, or $58.4 per hour.

Reconciliation Implementation Analyst

Clearwater Analytics

Boise, ID • On-site

Full-time

Re-posted 16 days ago


Job description

Reconciles transactions and holdings of investment portfolios to data received from external portfolio providers, using a state-of-the-art web-based system.
Responsibilities:
  • Ensure timely delivery of accurate investment information, including accounting, analytic, and compliance reports
  • Validates investment data against available market data provided by third party sources.
  • Manage internal and external inquiries & requests (main contacts include Treasurers & upper-level Accounting Managers)
  • Create and maintain valuable relationships with data providers, clients, and service delivery managers
  • Work with product teams to continually iterate and improve reconciliation tools and processes
  • Work with data engineers to automate reconciliation processes, aiming at >90% automation
  • Beginner to Intermediate Excel, such as performing hot keys to performing a COUNTIF or SUMIF.
  • Identifies an automation opportunity at least twice per month (24 total per year). Either submits a case or an account config with the aid of mentors.
  • Solid understanding of the CW End to End data flow and can identify and know the tools in the process, such as having an understanding that Scavenger feeds data to Prometheus, Prezo and Titan.
  • Applies reconciliation procedures and best practices to resolve a variety of issues.
  • Aware of resources that are available and correctly identifies the appropriate tools to conduct research.
  • Understands the general CW core value proposition (aggregate, reconcile, report).
  • Basic understanding of the front office and the accounting impacts of reconciliation options; Proficient with the "Big 3" menus and navigation.
  • Consistently completes tasks assigned, daily reconciliation on-time and accurately, including red errors, yellow errors, ACEs, Recon Insight etc. When errors mistakes in daily work occur, proactively learns from mistakes, and works to avoid repeat mistakes going forward.
  • Accounting: Basic understanding of investment accounting, financial statements, amortization, interest income, and other accounting Cert concepts.
  • Finance: Basic understanding of Time Value of Money, duration, yield, returns, and risk exposures as outlined in Cert material.
  • Asset Classes: Basic understanding of vanilla fixed income and equity investments and a deepening knowledge of various security types and/or alternative security types. -what they are, why they are used, and how they work in CW. Developing understanding of the security types commonly held by the clients they are assigned.
  • Trusted to deliver accurate, timely, and thorough responses (Level 1) to routine inquiries in both written and verbal contexts. Audience is typically team lead level or below.
  • Communicates effectively and timely with leadership or team when assistance is needed to meet daily deliverables.
  • Builds productive internal/external working relationships by communicating proactively (level 2 servicing).
  • Able to simplify most concepts when communicating with internal or external parties, keeping the audience in mind.
  • Uses the appropriate terminology when communicating with internal or external parties.
  • May have more senior team members review emails before sending or sit in on calls for support. Audience is typically low- or mid- level stakeholders.
  • Follows established procedures on work, requires only general instructions only on new issues. Builds upon expertise.
  • Able to serve as a trainer for level 1 and 2 analysts. Sphere of influence mainly own division.
  • Can self-evaluate performance and make improvements when identified by self or by leadership.

Requirements:
  • Bachelor's degree in a finance-related and analytical field
  • Dynamic problem solving, organizational and interpersonal skills
  • Be naturally curious
  • Excellent verbal and written communication skills
  • Strong computer skills, including Microsoft Office
  • An intense desire to learn something new and improve on a daily basis
  • Desired Experience or Skills:
  • Finance and/or accounting experience
  • Knowledge of GAAP and/or fixed income investments
  • Securities or financial markets experience
  • Advanced knowledge of Excel such as VLookUp, SUMIF, Pivot Tables, and Ribbon Utilization
  • SQL query writing skills