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Remote Call Center Data Entry Jobs in California

Data Analyst

Mountain View, CA ยท On-site +1

$90K - $100K/yr

Map how call center data (call volumes, handle time, CSAT, agent metrics) joins with data from CRM, workforce management, ticketing, and financial systems * Build and maintain documentation for data ...

Data Entry Clerk

Los Angeles, CA ยท Remote

$18.25 - $24.50/hr

Remote Data Entry Clerk Job Type: Part-Time or Full-Time (Flexible Schedule) Location: Work from Home Job Overview: Were looking for detail-oriented individuals to enter and update data from home. No ...

Remote Data Entry Clerk

San Diego, CA ยท Remote

$18 - $24.25/hr

... in data entry, administration roles High level of accuracy and strong attention to detail Experience working with sensitive or confidential information Strong organisational skills and ability to ...

One-Year Data Assistant

San Francisco, CA ยท Remote

$35.49 - $39.44/hr

San Francisco, CA or Remote U.S. The successful candidate will work for 12 months with an anticipated start date in late August or early September. What You'll Do Data Entry and Integrity (90%

New

San Francisco, CA or Remote U.S. The successful candidate will work for 12 months with an anticipated start date in late August or early September. What You'll Do Data Entry and Integrity (90%

New

One-Year Data Assistant

San Francisco, CA ยท Remote

$35.49 - $39.44/hr

San Francisco, CA or Remote U.S. The successful candidate will work for 12 months with an anticipated start date in late August or early September. What You'll Do Data Entry and Integrity (90%

New

One-Year Data Assistant

San Francisco, CA ยท Remote

$35.49 - $39.44/hr

San Francisco, CA or Remote U.S. The successful candidate will work for 12 months with an anticipated start date in late August or early September. What You'll Do Data Entry and Integrity (90%

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Remote Call Center Data Entry information

How much does Amazon pay for remote data entry?

Amazon typically pays remote data entry workers around $12 to $16 per hour, depending on experience and location. The role often requires basic computer skills and attention to detail, with some positions offering flexible schedules.

How to make $1000 a week remotely?

A remote call center data entry job typically pays hourly, so earning $1000 a week requires working around 40 hours at a rate of at least $25 per hour. Increasing income may involve taking on multiple shifts, improving efficiency, or seeking higher-paying roles with specialized skills or certifications. Consistent scheduling and quality work can help maximize earnings in this field.

What is the difference between Remote Call Center Data Entry vs Remote Customer Service Representative?

AspectRemote Call Center Data EntryRemote Customer Service Representative
Primary RoleInputting and updating data from call center interactionsAssisting customers with inquiries, complaints, and support
Skills NeededData entry, accuracy, typing speedCommunication, problem-solving, customer service
Work EnvironmentCall center software, data management systemsCustomer support platforms, CRM tools
Common CertificationsNone typically required, but data entry certifications helpfulCustomer service certifications beneficial

While both roles often operate remotely within call center environments, Remote Call Center Data Entry focuses on accurately inputting data from calls, whereas Remote Customer Service Representatives handle direct customer interactions and support. The roles differ mainly in their core responsibilities but share similar work settings and skills.

What jobs pay 4000 a week without a degree?

Remote call center data entry jobs typically do not pay $4,000 a week; most pay hourly or per task, often ranging from $10 to $20 per hour. High earnings in this field usually require advanced skills, experience, or working multiple shifts, but reaching $4,000 weekly is uncommon without additional qualifications or specialized roles.

Can I get a remote data entry job?

Remote call center data entry jobs are available and often require basic computer skills, attention to detail, and familiarity with data management software. Many positions offer flexible schedules and do not require extensive prior experience, making them accessible to a wide range of applicants.
What are the most commonly searched types of Call Center Data Entry jobs in California? The most popular types of Call Center Data Entry jobs in California are:
What are popular job titles related to Remote Call Center Data Entry jobs in California? For Remote Call Center Data Entry jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Remote Call Center Data Entry jobs? Cities in California with the most Remote Call Center Data Entry job openings:

Data Analyst

VIMO INC.

Mountain View, CA โ€ข On-site, Remote

$90K - $100K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

About VIMO:
Vimoยฎ started as the "Expedia" of health insurance and has evolved into a leader in transforming government IT infrastructure with its proven SaaS and AI technology. Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges, and we are now reinventing how states administer safety net programs such as Medicaid, SNAP (food stamps), child care, and unemployment insurance. With our cutting-edge technology, we are helping agencies serve more people, faster, and transforming healthcare service delivery as we know it.
We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data across our reporting ecosystem - with a particular focus on call center operations. You will serve as the connective tissue between source systems, data pipelines, and BI platforms, ensuring that reports are accurate, timely, and meaningful to the teams that rely on them. This role is equal parts investigator, data steward, and reporting partner.
Responsibilities:
  • Monitor, validate, and maintain data flows from call center platforms (e.g., Nice CxOne, Five9, Genesys, Avaya) through ETL/ELT pipelines into the data warehouse and BI layer
  • Triage and resolve data discrepancies, reporting anomalies, and integration issues across systems - owning the problem through to root cause and fix
  • Map how call center data (call volumes, handle time, CSAT, agent metrics) joins with data from CRM, workforce management, ticketing, and financial systems
  • Build and maintain documentation for data dictionaries, field mappings, and transformation logic
  • Partner with engineering and platform teams to surface pipeline failures, schema changes, or upstream data quality issues before they reach end-users
  • Develop and sustain dashboards and reports in BI tools (e.g., Sisense, Tableau, Power BI) that consolidate cross-system metrics into operational views
  • Conduct ad hoc analysis to support operations, finance, and workforce planning teams
  • Define and monitor data quality checks and alerting for key reporting metrics
  • Communicate data nuances and known limitations to business stakeholders clearly and proactively

Compensation and Benefits:
  • Competitive compensation - Please note that salary and compensation may vary based on factors such as skills, experience, performance and location.
  • We offer a comprehensive benefits package, including but not limited to: Health, Dental, Life, Disability, and Vision insurance
  • Healthcare spending or reimbursement accounts (HSA/FSA)
  • Retirement benefits (401k)
  • Paid time off
  • Holidays: 13 paid days per year
  • Education assistance or tuition reimbursement-
  • Employee discounts for Gym memberships & commuting/travel assistance

Our Vaues:
  • We believe that working hard, when it is imbued with purpose, can and should be fun.
  • You'll find we are a "can do" place where people work together and roll up their sleeves to get the job done.
  • Everyone has a voice; everyone's ideas count, and everyone is respected.
  • We have built a company, as well as a community of friends and colleagues, with respect for each other.

Information Security & Data Protection:
  • This role may involve access to sensitive or regulated information. The candidate is expected to handle all data in accordance with company security, privacy, and data protection policies.
  • Compliance with access control, data classification, and applicable legal and regulatory requirements is required.

Basic Qualifications:
  • 5+ years of experience Data Analysis or related fields
  • Proficient SQL - complex joins, CTEs, window functions, query optimization
  • Hands-on experience with BI platforms (Tableau, Power BI, Looker, or similar)
  • Familiarity with ETL/ELT tools or data pipelines (dbt, Fivetran, Airflow, or similar)
  • Experience working with call center or contact center data
  • Strong analytical thinking and attention to data detail
  • Ability to communicate technical findings to non-technical stakeholders

Preferred Qualifications:
  • Python or R for data wrangling and automation
  • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
  • Knowledge of call center KPIs: AHT, FCR, ASA, CSAT, NPS
  • Familiarity with data governance or cataloguing tools
  • Experience with CRM data and WFM systems
  • Background in operations analytics or workforce management

What Success Looks Like:
  • Reporting issues are identified and resolved before stakeholders notice them
  • Call center and cross-system data is reliably consolidated and consistently defined
  • Dashboards reflect a single source of truth that operations and leadership trust
  • Data flow documentation is thorough enough for anyone on the team to follow