Data and Reports Analyst

Posted 15 Hours Ago
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Philippines, Autonomous Region in Muslim Mindanao
Senior level
AdTech • Big Data • Analytics
The Role
The Data and Reports Analyst is responsible for conducting lifecycle analysis, developing reporting capabilities, interpreting data, and improving data collection systems. They lead a team, manage process improvements, and ensure quality assurance while engaging in company activities and performance assessments.
Summary Generated by Built In

POSITION SUMMARY

Call Center Data Analyst is critical in making and preparing operational analysis of data and recommending optimal ways to represent it visually to Managers, Sr. Managers, Directors, and other VS stakeholders. To create quality assurance and process documentation and define Key Performance Indicators (KPIs). The successful candidate will assist the management team turn data into information, information into insight and insight into business decisions.

ESSENTIAL DUTIES AND RESPONSIBILITIES

These include the following. Other duties may be assigned at the discretion of management in the context of the role:

1. Production Management

• Conduct full lifecycle analysis to include requirements, activities, and design.

• Develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

• Interpret data, analyze results using statistical techniques and provide ongoing reports

• Assess and improve data collection systems, analytics and other strategies that optimize statistical efficiency and quality

• Acquire data from primary or secondary data sources and maintain databases/data systems

• Identify, analyze, and interpret trends or patterns in complex data sets

• Filter and “clean” data to locate and correct code problems

• Work with management to prioritize business and information needs

• Locate and define new process improvement opportunities

• Extremely detail-oriented and can explain large amounts of information in a simple, organized manner. They should have strong math skills and business acumen, interpret data, and be curious.

2. People Management:

• Provide team leadership for conducting project definition.

• May manage subordinate analysts from time to time.

• When necessary, provide employees with timely, fair, and measured performance assessments

and feedback to foster growth.

• Rewards & Recognition and Engagement Activities: Lead and join company and core team initiated activities such as but not limited to the following: GIVE events, sportsfest, leadership summit, monthly/quarterly/yearly rewards and recognition program and other company events.

• Ensure analyst team follow policies, procedures and regulations as outlined by Human Resources. Escalate any legal concerns to the HR/Legal departments and partner with them on resolutions.

3. Other Tasks: Facilities Management and Phone Center Continuous Learning and

Improvement:

• Assist in various advisory or operational roles, similar to other director level positions

• Participate in company sponsored training which may be related to core assigned tasks.

• When work demands warrant, Call Center Data Analyst can be scheduled dialing hours on assigned workdays. This ensures that the Phone Center can provide the necessary hours to deliver completes and, at the same time, it constitutes an opportunity to be continually connected to dialing skills which enable call center leaders to effectively monitor, coach and support Telephone Interviewers.

REQUIRED SKILLS & QUALIFICATIONS:

To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential

functions.

Education and Experience:

• BS in Mathematics, Economics, Computer Science, Information Management or Statistics, business or related field or associate degree plus equivalent work experience

• 5+ years of experience working as an analyst in a call center is a must.

• 5+ years of experience managing a large variable call center workforce management, scheduling and optimization.

Specialized Skills:

• Strong Microsoft Office skills particularly with Word, Excel and PowerPoint.

• Able to quickly learn proprietary software and system changes/upgrades as needed.

• Experience with Tableau or a similar reporting tool required

• Knowledge of SQL a plus.

• Able to work flexible shifts including nights and weekends depending upon project demands

• Demonstrated leadership capabilities including

Top Skills

SQL
The Company
HQ: Dallas, TX
5,001 Employees
On-site Workplace
Year Founded: 1977

What We Do

Dynata is the world’s largest first-party data platform for insights, activation and measurement. With a reach that encompasses over 62 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization.

The Dynata data platform, an all-in-one solution for insights, activation and measurement, leverages our robust data, innovative technology and more than 40 years’ experience as a pioneer in consumer and B2B insights. Our vision for the Dynata data platform is to automate the entire marketing continuum, with capabilities to target audiences; uncover insights; connect data; activate, measure and optimize campaigns; and analyze, visualize, publish and share those insights to drive your business growth.

We’ve helped more than 6,000 market research firms, brands, media and advertising agencies, publishers, and consulting and investment firms around the world and in every industry accelerate transformation, enable better decision-making, and deliver revenue growth.

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