{"id":1171587,"url":"https://alion.io/job/parallel-wireless-senior-data-analyst-network-analytics-ai","title":"Senior Data Analyst, Network Analytics & AI","company":{"id":4814,"name":"Parallel Wireless","domain":"parallelwireless.com","url":"https://alion.io/company/parallel-wireless","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":83,"open_postings":23,"ghost_share":0,"stale_share":0.652,"repost_share":0.043,"time_to_fill_p50_days":41,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"XGBoost","optional":false},{"name":"AIOps","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Kibana","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Logstash","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-24T05:07:09Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-29T01:50:31Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We are hiring a Senior Data Analyst to turn 5G/LTE network telemetry, crash data and operational metrics into insights that improve network reliability and customer experience.\nYou' will own analytics from raw data to executive dashboards, and work closely with engineering, product and customer operations.\nRequired Qualifications\nBachelor's or Master's in Computer Science, Statistics, Engineering or a related field.\n10+ years of experience, 5+ years in data analytics, including at least 2 in a senior or lead role.\nStrong SQL and Python (pandas, NumPy); comfortable with large, high-volume datasets.\nSolid grasp of statistics, time-series analysis and anomaly detection.\nHands-on experience with ML libraries such as scikit-learn, XGBoost or statsmodels.\nPractical knowledge of time-series forecasting (Prophet, ARIMA or similar) and unsupervised anomaly detection (Isolation Forest, clustering).\nUnderstanding of model evaluation, feature engineering and how to avoid common problems like data leakage and class imbalance.\nPreferred Qualifications\n\nExperience with the ELK stack (Elasticsearch, Logstash, Kibana) and Kafka.\nTelecom domain knowledge (RAN, 4G/5G KPIs, O-RAN).\nFamiliarity with Kubernetes, cloud platforms (AWS) or data engineering workflows.\nExperience applying LLMs or GenAI (prompting, retrieval-augmented generation, LLM APIs) to analytics or operations use cases.\nFamiliarity with deep learning (PyTorch or TensorFlow) for sequence or log data.\nExposure to MLOps basics: model versioning, monitoring and drift detection.\nExperience with Elasticsearch ML features or AIOps platforms.\nKey Responsibilities\nAnalyse large telemetry and event datasets (KPIs, alarms, downtime, crash reports) to find trends, anomalies and root causes.\nBuild and validate ML models for anomaly detection, KPI forecasting, crash clustering and root-cause classification on network telemetry.\nUse AI and LLM tools to speed up analysis, such as summarising logs and crash reports, natural-language querying and automated insight generation.\nWork with engineering to move validated models from notebooks into production pipelines and dashboards.\nDefine KPIs, metrics and data models with product and engineering teams.\nWrite efficient queries and aggregations on Elasticsearch, SQL and Python-based pipelines.\nLeverage AI tools throughout the SDLC - from design and coding to testing, documentation, and troubleshooting - to accelerate delivery while ensuring output is reviewed, validated, and production-ready.","description_format":"text","description_chars":2510,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Networks","Network Equipment"],"lifecycle":[{"event":"open","at":"2026-09-24T07:59:52Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":41,"reasons":["conf:2","stale_co","velocity","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/parallel-wireless-senior-data-analyst-network-analytics-ai","json_url":"https://alion.io/job/parallel-wireless-senior-data-analyst-network-analytics-ai.json","meta":{"generated_at":"2026-09-29T03:50:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3645,"day_limit":5000,"remaining_today":1355,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}