Job Description

Data Analytics Manager

Riveron is seeking a seasoned

Data Analytics Manager

to lead our growing analytics team in India. This role is perfect for a strategic thinker with deep expertise in data analytics and leadership experience, who can drive data-driven decision-making and deliver actionable insights using advanced tools and technologies. If you're passionate about analytics, business intelligence, and enabling data-driven strategies, we'd love to connect with you.

Who You Are:

A data analytics professional with

8-10 years of experience

, including

3+ years in a leadership or managerial role

. Strong foundation in

data analytics, business intelligence, and visualization tools

(Power BI, Tableau, or equivalent). Proficient in

SQL

for complex query writing, data extraction, and performance optimization. Skilled in

Python

or

R

for advanced analytics, automation, and statistical modeling. Experienced in

data modeling

(relational, dimensional, and analytical models). Familiar with

cloud platforms

(Azure preferred) and services like

Azure Synapse Analytics

,

Azure Data Lake

,

Azure Databricks

, and

Microsoft Fabric

. Knowledgeable in

ETL processes

,

data governance

, and best practices for

data quality and security

. Strong understanding of

version control tools

(Git) and collaborative development workflows.

What You'll Do:

Lead and mentor

a team of data analysts and engineers to deliver high-quality analytics solutions. Design and implement

data analytics strategies

aligned with business objectives. Oversee development of

dashboards, reports, and predictive models

to support decision-making. Collaborate with stakeholders to

define KPIs, metrics, and data requirements

. Ensure

data accuracy, consistency, and compliance

across all analytics initiatives. Drive

performance optimization

for analytics workflows and reporting systems. Champion

best practices in data governance, security, and documentation

. Stay updated with

emerging trends in analytics, AI/ML, and cloud technologies

.

Preferred Qualifications:

Hands-on experience with

Azure Synapse Analytics

,

Power BI

,

Microsoft Fabric

, and

Azure SQL Database

. Familiarity with

CI/CD pipelines

and

DevOps practices

for analytics deployments. Experience in

Agile environments

, including sprint planning and stakeholder reviews. Strong

business acumen

and ability to translate data insights into actionable strategies. Excellent

communication and leadership skills

to manage cross-functional teams.

About Riveron:

At Riveron, we partner with clients--from global multinationals to high-growth private entities--to solve complex finance challenges, guided by our DELTA values: Drive, Excellence, Leadership, Teamwork, and Accountability. Our entrepreneurial culture thrives on collaboration, diverse perspectives, and delivering exceptional outcomes. We are committed to fostering growth, both for our clients and our people, through mentorship, integrity, and a client-centric approach. This inclusive environment offers flexibility, progressive benefits, and meaningful opportunities for impactful work that supports well-being in and out of the office.


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Riveron Consulting is an Equal Opportunity Employer and believes that we are stronger together through our diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law.

Fraud Alert

Please beware of fraudulent schemes or impersonations when going through the job application process. A Riveron employee will never recruit via text or extend unsolicited employment offers. Additionally, a Riveron employee will never ask you to exchange money or purchase anything as part of the recruiting process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment 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 contact us.