ZipRecruiter

Log In

2

Remote Key Performance Indicators Jobs in Mahwah, NJ

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site +1

Ability to work seamlessly with a highly technical remote data team (India) while acting as the ... Collaborate closely with Product Managers to define key performance indicators (KPIs), establish ...

Quinn PR

Senior Account Executive (Remote)

New York, NY · Remote

$75K/yr

We bring a CMO's focus on growth to the art of storytelling, ensuring our work doesn't just make headlinesit moves key performance indicators. We are the driving force behind the measurable growth in ...

iCapital

Corporate Finance, FP&A - Associate

Greenwich, CT · On-site +1

$85K - $115K/yr

Support the budgeting and forecasting of the firm's consolidated key financial performance indicators, with emphasis on revenue, volume activity, and select GAAP and Non-GAAP metrics, liaising with ...

Varsitybrands

Lead Software Engineer

Florida, NY · Remote

Remote HOW YOU WILL MAKE AN IMPACT: Varsity Brands is building a modern, unified digital platform ... Key Performance Indicators Success in this role will be measured through: * Scalability ...

PadSplit

Account Executive - Newark, NJ

Newark, NJ · On-site +1

The ideal candidate thrives in a remote environment, demonstrates strong communication skills, and ... key performance indicators. * Stay Updated on Market Trends: Monitor the real estate market ...

previous page

Showing results 41-60

All JobsKey Performance Indicators JobsRemote Key Performance Indicators JobsRemote Key Performance Indicators Jobs in Mahwah, NJ

Remote Key Performance Indicators information

See Mahwah, NJ salary details

$157.1K

$168.6K

How much do remote key performance indicators jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote key performance indicators in Mahwah, NJ is $168,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,600.00 and $167,600.00 per year, depending on experience, location, and employer.

How do professionals in remote key performance indicators roles collaborate with distributed teams to ensure accurate data collection and reporting?

In Remote Key Performance Indicators (KPI) roles, collaboration is largely virtual, relying on clear communication and shared digital platforms. Team members often use project management tools, video meetings, and cloud-based dashboards to gather, validate, and share performance data. Regular check-ins and transparent documentation are crucial for addressing discrepancies and ensuring everyone is aligned on KPI definitions and tracking methods. Building strong relationships with cross-functional remote colleagues helps ensure data accuracy and timely reporting, making proactive communication skills essential for success.

What is the difference between Remote Key Performance Indicators vs Remote Customer Service Representative?

AspectRemote Key Performance IndicatorsRemote Customer Service Representative
Primary FocusMeasuring performance metrics across roles and departmentsHandling customer inquiries and resolving issues
Required SkillsData analysis, KPI development, performance trackingCommunication, problem-solving, product knowledge
Work EnvironmentData-driven, strategic, often remoteCustomer interaction, support-focused, remote or office
Industry UsageAcross various industries for performance managementCustomer service departments in retail, tech, finance

Remote Key Performance Indicators focus on measuring and analyzing performance metrics to improve organizational efficiency, while Remote Customer Service Representatives handle direct customer interactions. Both roles are essential in remote work settings but serve different functions within an organization.

What are remote key performance indicators?

Remote Key Performance Indicators (KPIs) are specific metrics used to evaluate the performance and productivity of employees or teams working remotely. These KPIs help organizations monitor progress, set goals, and ensure accountability outside of a traditional office environment. Common remote KPIs may include project completion rates, response times, quality of work, communication efficiency, and adherence to deadlines. By tracking these indicators, employers can maintain high performance standards and support remote workers effectively.

What are the key skills and qualifications needed to thrive as a remote key performance indicators analyst, and why are they important?

To thrive as a Remote KPI Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in business, statistics, or a related field. Expertise with data visualization tools (like Tableau or Power BI), spreadsheets, and experience with analytics platforms or certifications (such as Google Analytics) are typically required. Exceptional attention to detail, problem-solving abilities, and clear communication help analysts present insights effectively to remote teams. These skills ensure accurate performance tracking, actionable insights, and effective decision-making for distributed organizations.
What cities near Mahwah, NJ are hiring for Remote Key Performance Indicators jobs? Cities near Mahwah, NJ with the most Remote Key Performance Indicators job openings:
Remote Key Performance Indicators jobs near you

Sr. Product Data Scientist

AlphaSense

New York, NY • On-site, Remote

Other

Re-posted 14 days ago

Job description

About the Role: 

AlphaSense is seeking a highly analytical, entrepreneurial Sr. Product Data Scientist to serve as the analytical engine for our Product Management team and own our most important product analytics questions.

Our foundational data engineering and reporting are expertly managed by our technical team in India. We are hiring this NYC-based role to be the "connective tissue" between our raw data and our strategic product decisions. You will not be spending your days building traditional dashboards; instead, your mission is twofold:

  1. Deep Strategic Analysis: Tackle our most complex product questions (e.g., understanding the true impact of our GenAI features on WAU/DAU retention and user habit formation).

  2. AI-Native Data Democratization: Architect the infrastructure that allows our PMs to query our BigQuery database using natural language. You will be the tip of the spear in transitioning our product analytics model from a "request-and-wait" dashboard culture to a real-time, AI-empowered ecosystem.

Who You Are:
  • Deep Product & Business Intuition: Demonstrated ability to understand product strategy and key metrics
  • Experience: 8+ years of experience working in Product Analytics, Data Analytics, or equivalent roles
  • Communication & Influence: Exceptional written and verbal communication skills, with a proven track record of presenting complex data insights clearly and persuasively to both technical and non-technical stakeholders. Proven ability to build strong working relationships and influence decision-making across cross-functional teams, particularly with Product Management.
  • The "Stats-First" Mindset: As AI makes querying easier, knowing which statistical tests to apply and how to interpret the noise is your superpower.
  • Technical Fluency (SQL & AI): Expert-level SQL is a must. You don't need to be a core software engineer, but you must be comfortable using Python and working with APIs, LLMs, and agentic frameworks.
  • Curiosity & Adaptability: The AI tooling landscape changes rapidly. You are the kind of person who actively explores new frameworks, and experiments with how to apply them to business problems.
  • Collaborative Leadership: Ability to work seamlessly with a highly technical remote data team (India) while acting as the strategic face of data for the product leadership team (NYC).
  • Location & Alignment: Ability to effectively collaborate and interact in real-time with Product teams primarily based in NYC, while also being able to work effectively with a team in India.
What You'll Do: 

  • Be the Strategic Co-Pilot for PMs: Co-locate with the Product team to understand the business deeply. Proactively look across all product features to identify trends, drop-offs, and opportunities that go beyond feature-by-feature reporting. Lead the effort to translate complex data analysis into clear, concise, and compelling narratives that drive key business decisions and product feature development decisions. 

  • Deep-Dive Analysis: Conduct and oversee comprehensive, complex analyses of product usage and adoption. Go beyond surface-level metrics to identify root causes for trends.

  • Project Oversight: Act as a thought partner to Product leadership, proactively identifying opportunities and risks through data analysis. Collaborate closely with Product Managers to define key performance indicators (KPIs), establish success metrics for new features, and provide ongoing, proactive insights into product performance.

  • Solve High-Stakes Business Questions: Use advanced statistical methods (e.g., cohort analysis, propensity matching, causal inference, etc.) to answer critical executive and investor questions-such as whether new product capabilities are actually inflecting long-term user retention.

  • Build the AI-to-Data Bridge: Wire up our BigQuery data warehouse to modern LLMs using standard protocols (like Model Context Protocol / MCP) or native cloud AI tooling.

  • Design the Semantic Layer: Partner with our Data Engineering team in India to ensure our data schemas are "AI-ready" (e.g., clean, well-aliased, and structured)

Why Join Us?

You will be the founding member of our next-generation analytics workflow, with the autonomy to define how a modern Product team interacts with data.

Apply