Messaging Trust Data Analyst

1 Year ago • All levels

Data Analysis

Job Description

Syniverse is seeking a Data Analyst to support its Messaging Trust anti-spam/anti-fraud platform. This internal-facing role involves providing human oversight to machine learning models, developing policies to reduce spam, and blocking fraudulent messages. You will collaborate with Commercial Messaging, Product, and Data Science teams to assist mobile operator and enterprise partners in protecting their end-users. The position requires strong analytical and investigative skills with a focus on detail to achieve win-win outcomes for customers and their end-users. Responsibilities include daily review of messaging clusters, identifying anomalies, taking action on spam/fraudulent messages, recommending new policies, and serving as a point of contact for blocking actions. You will also advise on blocking reasons for customer improvements, report metrics, and collaborate with product and data science teams. Maintaining product expertise and keeping abreast of relevant technologies is also key.

Must Have:

Perform daily reviews of messaging clusters
Review and analyze message clustering for anomalies
Take action on spam/fraud messages
Recommend new policies/rules
Advise on message blocking reasons
Report metrics to leadership and customers
Work with product and data science teams
Monitor success KPIs
Maintain product expertise
2+ years in customer success/service
BS/BA in Business or Marketing
Detail-oriented with customer compliance experience
Strong interpersonal and communication skills
Strong analytical and problem-resolution skills
Strong control and follow-up skills
Effective business writing skills

Perks:

Competitive total compensation
Flexible/remote work
Inclusive, collaborative, and transparent organizational culture

Add these skills to join the top 1% applicants for this job

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Syniverse is the world’s most connected company. Whether we’re developing the technology that enables intelligent cars to safely react to traffic changes or freeing travelers to explore by keeping their devices online wherever they go, we believe in leading the world forward. Which is why we work with some of the world’s most recognized brands. Eight of the top 10 banks. Four of the top 5 global technology companies. Over 900 communications providers. And how we’re able to provide our incredible talent with an innovative culture and great benefits.

Who We're Looking For

The Data Analyst is an internal facing professional who supports and provides human oversight for our machine learning Messaging Trust anti-spam/anti-fraud platform. The goal is to help train the machine learning/AI models and develop policies to reduce spam and block fraudulent messages. You will be assisting the Commercial Messaging, Product, and Data Science teams in helping their mobile operator and enterprise partners in protecting their end user customers. You’re passionate about engaging complex problems and driving to answers and resolution. It requires impeccable analytical and investigative skills with focus on details to create win/win results for customers and their customers/end users.

And your behaviors align strongly with our values, because ours do.

Some of What You'll Do

Scope of the Role:

Direct Reports: This is an individual contributor role with no direct reports

Key Responsibilities

Perform daily reviews of current messaging Clusters (Patterns)
Review, analyze and determine if there are anomalies (i.e. spam/fraud content showing as ML Ham, messages incorrectly identified as ML Spam, etc.) in current message clustering that may require re-labeling and policy creation.
Take immediate action on Messages/Clusters determined to be Spam/Fraud, not limited to opening a ticket, includes recommendation/creation of new policies or rules.
Be the point of contact for partner/customer facing teams on blocking actions.
Advise the reasons behind message blocking so that future improvements can be made by the customer.
Contribute to the success of the customer management team by reporting metrics back to leadership and customers
Work closely with product and data science teams to understand their measures of success and identify areas for improvement
Monitor success KPIs and report
Maintain product expertise by keeping abreast of technologies as they apply to Syniverse products and services

Key Responsibilities

2+ years in customer success or customer service
BS/BA in Business or Marketing

Additional Requirements:

Detail-oriented with prior customer compliance experience
Strong interpersonal, communication and team skills
Strong analytical and problem resolution skills
Strong control and follow-up skills
Effective Business writing skills

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Why You Should Join Us

Join us as we write a new chapter, guided by world-class leadership. Come be a part of an exciting and growing organization where we offer a competitive total compensation, flexible/remote work and with a leadership team committed to fostering an inclusive, collaborative, and transparent organizational culture.

At Syniverse connectedness is at the core of our business. We believe diversity, equity, and inclusion among our employees is crucial to our success as a global company as we seek to recruit, develop, and retain the most talented people who want to help us connect the world.

Know someone at Syniverse?

Be sure to have them submit you as a referral prior to applying for this position.

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