Jr Data, BI and Reporting Analyst- H/F - Stage 6 mois - Châtillon (92)

Job description

POSITION SUMMARY :

We are looking for a dynamic & analytical intern with a first company experience, to join us and help us revamp & extend our data architecture & business analytics across the roadside assistance & mobility business unit – across small & big data.

DIMENSIONS OF ROLE :

Exciting opportunity for a data & business-driven intern to contribute to the data transformation of our Motor & Mobility business

• Working on 30+ markets in a global role on B2B2C business with a strong digital dimension
• Transversal view of data along the value chain: Networks (with a strong geo-mapping & time dimensions), Customer Call Centers, Digital, Underwriting
• Inside a business team but supported with expert teams: Data office teams, other teams in other business lines, supported by an experienced manager in the field
• Business impacts at short-term & medium horizon: data exploration to identify business & savings potential, and opportunities to improve existing processes; Exciting project in Transformation context – with immediate business needs, both internal & external and across functions
• Multi-disciplinary job: Mix of building, training and coaching various users with different jobs; A good way to have a wide experience in the assistance & service worldwide & across functions, with a strong end-client and business partners dimension
• Working with & learning from best-in-breed tools on business (Salesforce, Easy Territory, IValua, Contract Tech, Osprey fraud detection tools ) and in big data (Hadoop, Impala, Spotwire, PowerBI)

KEY RESPONSIBILITIES :

In the Network and business support team, the Data & Business Intelligence Analyst (BI) intern will be working with a Data & BI Manager on the following activities

1) Build immediate data & BI solutions for business users with current data model & existing ad-hoc data – with a focus on automation & streamlining of processes
a. Operational performance: Provider network, Call centers….
b. Analytical data deep-dives in assistance cases to identify savings & fraud detection
c. Roadside assistance statistics: geo-location, frequency by car types etc…
d. Cross-business unit reports to Senior Management

2) Refine business data & BI needs and propose solutions addressing them for 1) internal reporting 2) tailored partner/client reporting
a. Collect needs from 1) data model 2) reporting 3) frequency etc
b. Assess implications for data model & appropriate set-up (tool, location etc)
c. Propose solutions, build and iterate

3) Act as business voice/PM in Transformation programme to drive & follow the delivery of the new data model through iterative prototypes and progressive roll-out of data models & tools

a. Develop & evolve the data model prototype: from initial prototype to final delivery, following the progress made on the various tools & their underlying data model
b. Working across the various tools & databases: Salesforce, Ivalua (providers tool), Easy territory, Digital tracking assets, proprietary algorithms etc…
c. Challenge & review data model architecture efficiency; Follow data model evolutions
d. Build & maintain own roadmap based on prioritised needs and data availability & transformation roadmap

4) Roll-out business analytics with the various users: onboard, educate, train, coach, support

a. On-board & train new & experienced users on 1) data model and underlying data 2) big data tools: PowerBI & Spotfire
b. Prototype & industrialise dashboards with users for the various audiences
c. Coach users for more advanced use and specific developments requiring support
d. Maintain data model (incl dictionaries & data marts) and overview of report/dashboard architecture for all teams
e. Support ad-hoc requests to empower business analytics by each team
f. Roll out data governance principles and ensure data ownership by relevant stakeholders.

5) Oversee business analytics developments and drive convergence & alignment with other teams to produce senior management dashboards across lines of business

Desired profile

Qualifications :

SKILLS AND EXPERIENCE :

To be successful in the role, you will need to demonstrate the following Skills:

• Previous working experience in analytical & data-driven jobs
• Strong academic background – ideally statistics, business or engineering school
• Numerate with extensive experience in data base, data manipulation and analysis
• Strong commercial acumen, with affinity for B2B2C business
• Business-oriented, digital and industrial yet agile mindset
• Ability to work with short-term & medium-term objectives, as well as on multiple projects
• Excellent communication skills, tenacity and enthusiasm
• Good level of maturity in people interface skills, working both across cultures and at various levels of the organization; Ability to convince and influence people, demonstrates effective leadership with ability to encourage others and move toward a common vision or goal
• Very good knowledge of big data and MI tools (R, Python, SAS, Spotfire, Power BI) and MS Office tools (Excel, PowerPoint, Sharepoint)
• Must be fluent in English. Other language (French, Spanish) is a strong plus