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Data Encoder Home Based Jobs in Edison, NJ (NOW HIRING)

Atlantic Health System

Chief Medical Officer

Morristown, NJ · On-site

$475K - $650K/yr

... data, and continuously test and validate home-based acute care models. Partnership with extended HaH Leadership • Serve as a strategic thought partner to HaH and enterprise leadership in advancing ...

HockeyStack, Inc

Account Executive

New York, NY · On-site

$160K - $320K/yr

The result is a platform that can extract the revenue blueprint from a company's data, encode it ... We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity ...

MJHS

LPN (Home Care CHHA)

Brooklyn, NY · On-site

$65K - $74K/yr

Field-based Salary: $65,000.00 - $74,000.00 per year $10,000 Sign-On Bonus or Student Loan ... Under the direction of an RN, accurately observes, measures, records and reports clinical data ...

MJHS

LPN (Home Care CHHA)

Brooklyn, NY · On-site

$65K - $74K/yr

Field-based Salary: $65,000.00 - $74,000.00 per year $10,000 Sign-On Bonus or Student Loan ... Under the direction of an RN, accurately observes, measures, records and reports clinical data ...

MJHS

LPN (Home Care CHHA)

Manhattan, NY · On-site

$65K - $74K/yr

Field-based Salary: $65,000.00 - $74,000.00 per year $10,000 Sign-On Bonus or Student Loan ... Under the direction of an RN, accurately observes, measures, records and reports clinical data ...

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All JobsData Encoder Home Based JobsData Encoder Home Based Jobs in Edison, NJ

Data Encoder Home Based information

What is a Data Encoder Home Based job?

A Data Encoder Home Based job involves entering, updating, and managing data in digital formats from the comfort of your home. Responsibilities typically include encoding information into databases, verifying data accuracy, and maintaining records. This role requires attention to detail, typing proficiency, and familiarity with data management software. Many companies hire remote data encoders for tasks like processing invoices, transcribing documents, or organizing customer information. It is a great option for those looking for flexible, work-from-home opportunities.

What are the key skills and qualifications needed to thrive in the Data Encoder Home Based position, and why are they important?

To thrive as a Data Encoder Home Based, strong typing skills, attention to detail, and accuracy in data entry are essential, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of ERP software is typically required. Excellent self-motivation, time management, and the ability to work independently make a candidate stand out in this remote position. These skills and qualities ensure high-quality, error-free data processing and efficient workflow in a virtual work environment.

How to make 2000 a week working from home?

A data encoder working from home can increase earnings by taking on multiple projects, working efficiently, and improving skills such as data entry accuracy and speed. Earning $2000 weekly typically requires consistent high-volume work, possibly through freelance platforms or multiple clients, and maintaining a reliable schedule. Building a strong reputation and gaining experience can also lead to higher-paying opportunities in data encoding roles.

What are some common challenges encountered by Data Encoders working from home, and how can they be managed?

Data Encoders working from home often face challenges such as maintaining focus in a home environment, managing large volumes of repetitive tasks, and ensuring data accuracy with minimal supervision. Establishing a dedicated workspace and structured routine can help reduce distractions and maintain productivity. Utilizing productivity tools and setting regular self-checks ensures data quality and helps meet deadlines. Employers typically provide training and support channels, so don’t hesitate to reach out or participate in remote meetings to stay connected with your team.

What is a data encoder work from home?

A data encoder working from home is responsible for inputting, updating, and managing data in computer systems remotely. The role typically requires strong attention to detail, proficiency with data entry tools, and the ability to work independently within a flexible schedule.

What job makes $10,000 a month without a degree?

A data encoder working from home can potentially earn around $10,000 per month with experience, efficiency, and high-volume data entry tasks. Success depends on skill level, the complexity of projects, and the ability to work consistently, often requiring strong attention to detail and familiarity with data management tools.

How much do data encoders typically make?

Data encoders working from home typically earn between $10 and $20 per hour, depending on experience, skill level, and the complexity of the data being processed. Some positions may offer a fixed weekly or monthly salary, especially for full-time roles, while others pay per task or project. Compensation can also vary based on the employer and geographic location, even for remote work.
What are popular job titles related to Data Encoder Home Based jobs in Edison, NJ? For Data Encoder Home Based jobs in Edison, NJ, the most frequently searched job titles are:
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Data Encoder Home Based jobs near you

Associate Director, Media Data Science

Avalere Health

New York, NY • Remote

$60K - $60K/yr

Full-time

Posted 4 days ago

Job description

About Avalere Health

United by one profound purpose: to reach EVERY PATIENT POSSIBLE. At Avalere Health, we ensure every patient is identified, treated, supported, and cared for. Equally. Our Advisory, Medical, and Marketing teams come together – powerfully and intentionally – to forge unconventional connections, building a future where healthcare is not a barrier and no patient is left behind. 

Achieving our mission starts with providing enriching, purpose-driven careers for our team that empower them to make a tangible impact on patient lives. We are committed to creating a culture where our employees are empowered to bring their whole selves to work and tap into the power of diverse backgrounds and skillsets to play a part in making a difference for every patient, everywhere. 

Our flexible approach to working allows our global teams to decide where they want to work, whether in-office or at home based on team and client need. Major city hubs in London, Manchester, Washington, D.C., and New York, and smaller offices globally, serve as collaboration hubs allowing our teams to come together when it matters. Homeworkers are equally supported, with dedicated social opportunities and resources.  

Our inclusive culture is at the heart of everything we do. We proudly support our employees in bringing their whole selves to work with our six Employee Network Groups – Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups provide opportunities to promote diversity, equity, and inclusion and to connect, learn, and socialise through regular meetings and programs of activity. We are an accredited Fertility Friendly employer with our Fertility Policy, enhanced parental leave, and culture of flexibility ensuring every employee feels supported across their family planning journey and can work in a way that suits their family’s needs. 

We are deeply invested in supporting professional growth for our employees through day-to-day career experiences, access to thousands of on-demand training sessions, regular career conversations, and the opportunity for global, cross-capability career moves.  

We take pride in being part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse. If you'd like to apply and need adjustments made, you can let us know in your application.

We are seeking an Associate Director of Media Data Science to lead advanced media analytics across HCP and DTC campaigns. This individual will be an innovator and cross-functional collaborator who pushes the boundaries of healthcare media measurement, connects complex datasets, and translates insights into compelling business narratives. 

This role sits at the intersection of data science, media strategy, and client impact — responsible for connecting omnichannel media investment to measurable outcomes and growth. 

What You'll Do
  • Lead advanced measurement strategy across HCP and DTC campaigns, including MMM, multi-touch attribution, incrementality testing, brand affinity, and lift studies.
  • Build, run, and refine hands-on data science models to evaluate media effectiveness, including linear regression, marketing mix models, attribution models, predictive models, and other statistical approaches.
  • Integrate and analyze healthcare datasets including IQVIA, Crossix, PurpleLab, Experian, Medicaid, and other claims or identity-based data sources to quantify media impact.
  • Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic business outcomes and promotional KPIs.
  • Query, manipulate, and structure large datasets within Snowflake, operating within a medallion (Bronze/Silver/Gold) data architecture.
  • Use SQL, Python, R, and/or other statistical tools to clean, transform, model, and analyze large-scale media and healthcare datasets.
  • Apply tools such as SAS, SPSS, or similar statistical platforms to support advanced modeling, analysis, and validation where appropriate.
  • Build structured datasets and dashboards in Tableau and Looker that support real-time insight generation and executive reporting.
  • Translate statistical modeling outputs into clear, actionable storylines that demonstrate how campaigns drive business performance.
  • Develop executive-ready PowerPoint presentations that bring data to life for clients and senior stakeholders.
  • Collaborate closely with Media Strategy, Data Strategy, Engineering, and Account teams to ensure measurement frameworks, model outputs, and reporting solutions are aligned with business objectives.
  • Mentor analysts and foster a culture of innovation, rigor, technical excellence, and cross-functional partnership within the data science function.

About You
  • 6+ years of experience in data science, advanced analytics, media measurement, or marketing analytics, preferably within healthcare, pharma, life sciences, or another highly regulated industry.
  • Hands-on experience building, running, and interpreting statistical models, including linear regression, marketing mix modeling, multi-touch attribution, incrementality testing, lift studies, and/or predictive modeling.
  • Strong technical capability with SQL, Snowflake, Python, and/or R, including experience cleaning, transforming, analyzing, and modeling large-scale datasets.
  • Experience with SAS, SPSS, or similar statistical tools preferred.
  • Experience leveraging healthcare data platforms and datasets such as IQVIA, Crossix, PurpleLab, Experian, Medicaid, claims data, identity-based data, or similar sources.
  • Strong Tableau and/or Looker skills, with the ability to develop reporting solutions that support both detailed analysis and executive-level decision-making.
  • Strong communication and storytelling skills, including the ability to translate complex modeling outputs into clear, actionable business narratives for clients and senior stakeholders.
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related field required; Master’s degree preferred.
What we can offer

You will receive a 401K plan with an employer match contribution up to 4% (immediately vested), as well as life insurance, disability coverage, and medical, dental, and vision plans for peace of mind. Enjoy flexible working arrangements, including hybrid and remote work, along with the option to work from anywhere across the globe two weeks each year. We provide 20 vacation days plus one personal well-being day, recognise 9 public holidays, along with gifted end-of-year holidays and an early Summer Friday finish in June, July, and August. 

Access free counselling through our employee assistance program and personalized health support. Our enhanced maternity, paternity, family leave, and fertility policies provide support across every stage of your family-planning journey. You can also benefit from continuous opportunities to professionally develop with on-demand training, support, and global mobility opportunities across the business.  

We encourage all applicants to read our candidate privacy notice before applying to Avalere Health.

We may use AI tools to support elements of the hiring process, such as reviewing applications, analyzing CV/resumes, assessing responses, or transcribing interviews. These tools assist our Talent team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please review our candidate privacy policy.