{"id":2408976,"url":"https://alion.io/job/ssidecisions-senior-data-analyst","title":"Senior Data Analyst","company":{"id":4417037,"name":"Strategic Systems International","domain":"ssidecisions.com","url":"https://alion.io/company/ssidecisions","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lahore, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":63000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2647},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Master Data Management","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-15T09:12:05Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-13T15:24:28Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Senior Data Analyst\nPosition Overview\nWe are looking for a Senior Data Analyst - Delivery to own end-to-end client data evaluations, from processing and enriching customer datasets to analyzing results and ensuring data quality before delivery.\nThe ideal candidate will have strong experience working with large, complex, and external datasets, with advanced proficiency in SQL and Python. You will analyze match rates, data coverage, quality, and accuracy; identify patterns and gaps; and communicate findings clearly to internal teams and external clients. This role requires strong analytical judgment, attention to detail, and the ability to challenge data and validate results before sharing them with customers.\nKey Responsibilities\nManage client data evaluations end-to-end, including data matching, enrichment, analysis, and delivery.\nAnalyze match rates and data coverage across dimensions such as country, entity size, source, and individual data fields.\nInvestigate data quality issues, inconsistencies, inaccurate matches, missing information, and unreliable confidence scores.\nPerform thorough QA and validation of datasets before delivering outputs to clients.\nPrepare clear analysis and documentation explaining methodology, results, data quality, and key findings.\nParticipate in technical discussions with clients and confidently communicate and defend analytical findings.\nIdentify systematic matching failures, coverage gaps, taxonomy issues, and other data quality challenges.\nCollaborate with Engineering and Data Science teams to communicate findings and recommend product or data improvements.\nDevelop reusable evaluation tools, scoring scripts, evaluation frameworks, and benchmark/golden datasets to improve efficiency.\nWork with large datasets using Python and SQL, determining when local processing is appropriate and when warehouse-based processing is required.\nContinuously validate analytical results using multiple approaches to ensure accuracy and reliability.\nRequired Skills & Qualifications\n5+ years of professional experience working with complex, real-world, and external datasets.\nStrong proficiency in SQL and Python, particularly pandas or equivalent data analysis libraries.\nExperience working with datasets containing millions of records.\nStrong understanding of data quality, data validation, data analysis, and statistical/analytical methodologies.\nPractical experience with entity resolution, record linkage, deduplication, data enrichment, or master data management is highly desirable.\nAbility to analyze and explain precision, recall, match rates, and data coverage.\nStrong attention to detail and a consistent habit of validating data and analytical results.\nExcellent written and verbal communication skills.\nAbility to explain complex analytical findings clearly to technical and non-technical stakeholders.\nStrong English communication skills, with the ability to participate in technical discussions with international clients.\nAbility to work independently and take ownership of client-facing deliverables.\nPreferred Qualifications\nExperience working with company/firmographic data, corporate data, registry data, or commercial data products.\nExperience evaluating or working with third-party data vendors.\nExperience with Apache Spark or similar distributed data-processing technologies.\nExposure to industries such as:Insurance\nCredit Risk\nProcurement\nSupply Chain\nFinancial Data\n\nExperience working with customer-facing data products or external client datasets.\nCulture of Belonging: At SSI, we are committed to fostering a culture of belonging where everyone feels valued, respected, and empowered to contribute and grow.","description_format":"text","description_chars":3680,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T01:34:48Z"}],"visa":[],"liveness":{"score":56,"band":"ok","label":"Likely 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